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Journal articles on the topic 'Surveillance signal processing'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Ksendzuk, A. V., A. A. Kanatchikov, and P. A. Gerasimov. "SPACE SURVEILLANCE SYSTEM’S SAR SIGNAL DETECTION RESULTS." Issues of radio electronics, no. 3 (March 20, 2018): 63–68. http://dx.doi.org/10.21778/2218-5453-2018-3-63-68.

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Special aspects of space objects radiotechnical surveillance system used for filling the space tracking and surveillance system (STSS) satellite catalogue described and analyzed. Special emphasis placed on spaceborne synthetic aperture radar signals detection. Parameters of the SAR signals estimated with the proposed radiotechnical surveillance system described. Two processing methods for unknown and partially known signals proposed and analyzed. Signal detection with incompletely known parameters performs with cumulative second-order statistic. Signal detection with unknown parameters performs for periodic signal in assumption that observation interval exceed pulse repetition frequency. Proposed methods implemented in hardware demonstrator of radiotechnical surveillance system. This demonstrator works in real-time on Field Programmable Gate Array or save data on storage device for post-processing. L-band Palsar2 signal detection results presented and analyzed. Further work for hardware and software optimization described.

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2

K. Abdul-Hussein, Mohammad, Oleksii Strelnytskyi, Ivan Obod, Iryna Svyd, and Haider Th Salim Alrikabi. "Evaluation of the Interference’s Impact of Cooperative Surveillance Systems Signals Processing for Healthcare." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 03 (March 8, 2022): 43–59. http://dx.doi.org/10.3991/ijoe.v18i03.28015.

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Patient signals produced from a physical device, such as electrocardiography (ECG), which records the electrical activity of the heart, are vulnerable to keep noise due to various physical constraints of acquisition devices. It is critical for the detection and diagnosis of a variety of diseases. An ECG signal should be displayed as clean and clear as feasible due to its relevance in assisting physicians and doctors in making appropriate judgments. ECG is vulnerable to many types of noise because it is an electrical signal. To improve the quality of assistance for consumers Info a surveillance system by cooperative surveillance systems, high-quality data processing by the observed surveillance systems is required, which predetermines the requirement for high noise immunity of the latter. At the same time, the basics of building cooperative surveillance systems as a network of two-channel asynchronous information communication systems which include numeral of transmitting and receiving process using diverse frequency limits for reception and transmission, failure-prone open single-channel queuing systems, and request signals do not allow to provide the required the noise resistance of the systems under consideration. This paper first gives a characterization of request and interference signal flows in cooperative surveillance systems and briefly examines the features of request signals and their effect on the immunity of cooperative surveillance systems. Then, it calculates the noise resistance of the demand signals of the cooperative surveillance systems for the probabilities of errors: signal skipping; First- and second-degree false alarms in the case of unrelated events, unintended and intra-system impulse interferences in the request channel

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3

Ferguson, Brian. "Signal processing for acoustic surveillance of the land environment." Journal of the Acoustical Society of America 109, no. 5 (May 2001): 2298. http://dx.doi.org/10.1121/1.4744059.

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4

Dimitropoulos, K., N. Grammalidis, H. Gao, C. Stockhammer, and A. Kurz. "Magnetic signal processing & analysis for airfield traffic surveillance." IEEE Aerospace and Electronic Systems Magazine 23, no. 1 (January 2008): 21–27. http://dx.doi.org/10.1109/aes-m.2008.4444485.

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5

Yani, Kalfika, Fiky Y. Suratman, and Koredianto Usman. "Design and Implementation Pulse Compression for S-Band Surveillance Radar." Journal of Measurements, Electronics, Communications, and Systems 7, no. 1 (December 30, 2020): 20. http://dx.doi.org/10.25124/jmecs.v7i1.2631.

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The radar air surveillance system consists of 4 main parts, there are antenna, RF front-end, radar signal processing, and radar data processing. Radar signal processing starts from the baseband to IF section. The radar waveform consists of two types of signal, there are continuous wave (CW) radar, and pulse compression radar [1]. Range resolution for a given radar can be significantly improved by using very short pulses. Pulse compression allows us to achieve the average transmitted power of a relatively long pulse, while obtaining the range resolution corresponding to a short pulse. Pulse compression have compression gain. With the same power, pulse compression radar can transmit signal further than CW radar. In the modern radar, waveform is implemented in digital platform. With digital platform, the radar waveform can optimize without develop the new hardware platform. Field Programmable Gate Array (FPGA) is the best platform to implemented radar signal processing, because FPGA have ability to work in high speed data rate and parallel processing. In this research, we design radar signal processing from baseband to IF using Xilinx ML-605 Virtex-6 platform which combined with FMC-150 high speed ADC/DAC.

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6

Westphal, R. "Sensors, Medical Image and Signal Processing." Yearbook of Medical Informatics 16, no. 01 (August 2007): 70–71. http://dx.doi.org/10.1055/s-0038-1638528.

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SummaryTo summarize current excellent research in the field of sensor, signal and imaging informatics.Synopsis of the articles selected for the IMIA Yearbook 2007.The selection process for this yearbook section “Sensor, signal and imaging informatics” results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected.The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field of sensors, signal and image processing with applications in medical informatics. However, the selected papers demonstrate, how advances in this field may positively affect future patient care.

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7

Худов, Г. В., Сальман Рашід Оваід, В. М. Ліщенко, and В. О. Тютюнник. "Methods of signal processing in a multiradar system of the same type of two-coordinated surveillance radars." Системи обробки інформації, no. 3(162), (September 30, 2020): 65–72. http://dx.doi.org/10.30748/soi.2020.162.07.

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The subject of research in the paper is the problem of developing methods of signal processing in a multiradar system of the same type of two-coordinate surveillance radars with mechanical rotation. The aim of the paper is to improve the quality of detection of air objects by combining the same type of two-coordinate radars in a multi-radar system. It is proposed to combine the existing surveillance radar stations into a spatially spaced coherent multi-radar system. The synthesis of optimal detectors of coherent and incoherent signals is carried out. The characteristics of detection of air objects in a multi-radar system with compatible signal receiving have been evaluated. The obtained results: the addition of the second radar, regardless of the degree of signal coherence, showed the greatest efficiency in the gain in terms of signal / noise, the optimal number of radars in the multi-radar system is not more than four. The expected signal / noise threshold gain in a system of four radars can be up to eighteen decibels for a system with coherent signals and up to eleven decibels for a system with incoherent signals. The using of more than four radars is impractical.

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8

Ksendzuk, A. V., and A. A. Kanatchikov. "SPACEBORNE SAR SIGNAL DETECTION AND PARAMETER ESTIMATION IN SPACE TRACKING AND SURVEILLANCE SYSTEM MODELING." Issues of radio electronics, no. 3 (March 20, 2019): 31–35. http://dx.doi.org/10.21778/2218-5453-2019-3-31-35.

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The development of information support of the space tracking and surveillance system is a highly topical task, the solution of which will help to increase the effectiveness of monitoring space objects. Development and practical application of the software for Spaceborne synthetic aperture radar (SAR) signal detection and parameter estimation described and analyzed. Architecture of the software is described, processing results in the simulation mode (comparison of different processing methods) and real SAR satellite signals processing mode analyzed. In simulation mode detection and parameter estimation methods compared statistically as averaged estimation error as a function of the signal‑to‑noise ratio. Estimator statistical characteristics – bias, variation, error histogram – derived and analyzed.

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9

Fadeev, E. V. "RECIEVED SIGNAL PROCESSING ALGORITHMS IN AVIATION-BASED RADIOELECTRONIC SURVEILLANCE SYSTEMS." Bulletin of Russian academy of natural sciences 21, no. 4 (2021): 11–19. http://dx.doi.org/10.52531/1682-1696-2021-21-4-11-19.

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10

Yan, He, Daiyin Zhu, Robert Wang, and Xinhua Mao. "Practical signal processing algorithm for wide‐area surveillance‐GMTI mode." IET Radar, Sonar & Navigation 9, no. 8 (October 2015): 991–98. http://dx.doi.org/10.1049/iet-rsn.2014.0452.

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11

Svyd, I. V., M. G. Tkach, A. O. Sierikov, O. V. Korotich, S. V. Datsko, D. O. Sukhorukov, and T. S. Machonis. "Processing of information from networks of airspace surveillance radar systems." Radiotekhnika, no. 210 (September 28, 2022): 141–49. http://dx.doi.org/10.30837/rt.2022.3.210.11.

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The presented paper examines the principles and methods for processing of information from airspace surveillance radar networks. Information technologies allow implementing automatic collection, processing, storage, transmission and issuance of radar information to users. In this work, the synthesis and analysis of the optimal structure of the interstage processing of signal data and radar information of primary processing in the network of airspace surveillance radar systems is carried out. The quality of information from radar networks of airspace surveillance systems affects almost all indicators of the quality of the radar systems network functioning. The stages of radar information processing in radar systems networks are analyzed. The importance of specifying the above stages for creating a complete picture of the air situation in the area of responsibility is shown. To improve the quality of information support for consumers, a network of radar systems requires information processing at all stages. At each stage of information processing, information processing quality indicators were analyzed. This made it possible to show that the staged implementation of information processing, on the one hand, simplified the optimization of processing within each processing stage, but on the other hand, it made it difficult to carry out compatible optimization of both the detection of an aerial object and the measurement of the coordinates of an aerial object. The synthesized structure of processing radar information of the network of radar systems of airspace surveillance, which in its turn made it possible to carry out interstage optimization of processing of both signal data and primary processing information. Calculations have shown that the method of information processing, in which the combination of information is carried out at the level of decision-making on the detection of airborne objects in each signal data processing channel, has some advantages in the quality of information processing of the network of radar systems compared to the one currently used. time option combination information at the stage of signal processing. At the same time, for the method of combining information at the level of decision-making about the detection of aerial objects, the flow of transmitted information to the joint processing point is significantly reduced. All this allows improving the quality of information processing in the airspace control system.

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12

Simeonova, Neli, and Ekaterina Gospodinova. "Mathematical Model, Development of Algorithms and Measurement of Parameters of Objects in Monitoring Systems for Protection of Cultural Heritage." Digital Presentation and Preservation of Cultural and Scientific Heritage 12 (September 7, 2022): 183–92. http://dx.doi.org/10.55630/dipp.2022.12.15.

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This article is devoted to the creation of a mathematical model processing the output signal of video surveillance systems, based on information about the characteristics of the signals of the objects of observation, in order to protect cultural heritage. The subject of the study is the relationship between the structure and parameters of the output signal, certain changes in the situation in the area of observation and detection of a signal from foreign objects against the background of noise. Typical physical conditions for the functioning of video surveillance systems are defined and general recommendations for maintaining the operating point are offered. Algorithms have been developed that realize the functionality of the optimal detector device by numerical methods.

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13

Fu, Hua, Samith Abeywickrama, Lihao Zhang, and Chau Yuen. "Low-Complexity Portable Passive Drone Surveillance via SDR-Based Signal Processing." IEEE Communications Magazine 56, no. 4 (April 2018): 112–18. http://dx.doi.org/10.1109/mcom.2018.1700424.

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14

Cristani, Marco, R. Raghavendra, Alessio Del Bue, and Vittorio Murino. "Human behavior analysis in video surveillance: A Social Signal Processing perspective." Neurocomputing 100 (January 2013): 86–97. http://dx.doi.org/10.1016/j.neucom.2011.12.038.

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15

Westphal, R. W. "Section 4: Sensor, Signal and Imaging Informatics: Sensors, Medical Image and Signal Processing." Yearbook of Medical Informatics 15, no. 01 (August 2006): 70–73. http://dx.doi.org/10.1055/s-0038-1638489.

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SummaryObjectives:To summarize current excellent research in the field of sensor, signal and imaging informatics.Method:Synopsis of the articles selected for the IMIA Yearbook 2007.Results:The selection process for this yearbook section “Sensor, signal and imaging informatics” results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected.Conclusion:The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field of sensors, signal and image processing with applications in medical informatics. However, the selected papers demonstrate, how advances in this field may positively affect future patient care.

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16

Topilin, A. A. "Secondary radar azimuth accuracy with increased surveillance speed." Journal of «Almaz – Antey» Air and Space Defence Corporation, no. 3 (September 30, 2019): 52–57. http://dx.doi.org/10.38013/2542-0542-2019-3-52-57.

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The study introduces the dependence of the secondary radar aircraft azimuth accuracy on the space surveillance speed and the signal-to-noise ratio for various algorithms of the primary processing of radar data under the influence of normal Gaussian and Rice processes. The results obtained are practically applicable when upgrading software which implements the processing of radar data in existing radars

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17

Zheng, Yuan, and Silong Peng. "Robust Vehicle Registration Method Based on 3D Model for Traffic Surveillance Application." International Journal of Signal Processing, Image Processing and Pattern Recognition 6, no. 5 (October 31, 2013): 129–42. http://dx.doi.org/10.14257/ijsip.2013.6.5.12.

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18

CHA, Daehyun, and Chansik HWANG. "LWT Based Sensor Node Signal Processing in Vehicle Surveillance Distributed Sensor Network." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 4 (2010): 720–23. http://dx.doi.org/10.1587/transfun.e93.a.720.

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19

Bae, Jun-Woo, Bong-Jae Kim, Jae-Hung Choi, and Lae-Hyung Jeong. "Development of High-Speed Real-Time Signal Processing for 3D Surveillance Radar." Journal of Korean Institute of Electromagnetic Engineering and Science 24, no. 7 (July 31, 2013): 737–47. http://dx.doi.org/10.5515/kjkiees.2013.24.7.737.

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20

Konopel'kin, M. Yu, S. V. Petrov, and D. A. Smirnyagina. "Implementation of stochastic signal processing algorithms in radar CAD." Russian Technological Journal 10, no. 5 (October 21, 2022): 49–59. http://dx.doi.org/10.32362/2500-316x-2022-10-5-49-59.

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Objectives. In 2020, development work on the creation of a Russian computer-assisted design system for radars (radar CAD) was completed. Radar CAD provides extensive opportunities for creating simulation models for developing the hardware-software complex of radar algorithms, which take into account the specific conditions of aerospace environment observation. The purpose of the present work is to review and demonstrate the capabilities of radar CAD in terms of implementing and testing algorithms for processing stochastic signals.Methods. The work is based on the mathematical apparatus of linear algebra. Analysis of algorithms characteristics was carried out using the simulation method.Results. A simulation model of a sector surveillance radar with a digital antenna array was created in the radar CAD visual functional editor. The passive channel included the following algorithms: algorithm for detecting stochastic signals; algorithm for estimating the number of stochastic signals; direction finding algorithm for stochastic signal sources; adaptive spatial filtering algorithm. In the process of simulation, the algorithms for detecting and estimating the number of stochastic signals produced a correct detection sign and an estimate of the number of signals. The direction-finding algorithm estimated the angular position of the sources with an accuracy of fractions of degrees. The adaptive spatial filtering algorithm suppressed interfering signals to a level below the antenna's intrinsic noise power.Conclusions. The processing of various types of signals can be simulated in detail on the basis of the Russian radar CAD system for the development of functional radar models. According to the results of the simulation, coordinates of observing objects were obtained and an assessment of the effectiveness of the algorithms was given. The obtained results are fully consistent with the theoretical prediction. The capabilities of radar CAD systems demonstrated in this work can be used by specialists in the field of radar and signal processing.

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21

Dennis, Jack B. "Static Mapping of Functional Programs: An Example in Signal Processing." Scientific Programming 5, no. 2 (1996): 121–35. http://dx.doi.org/10.1155/1996/360960.

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Complex signal-processing problems are naturally described by compositions of program modules that process streams of data. In this article we discuss how such compositions may be analyzed and mapped onto multiprocessor computers to effectively exploit the massive parallelism of these applications. The methods are illustrated with an example of signal processing for an optical surveillance problem. Program transformation and analysis are used to construct a program description tree that represents the given computation as an acyclic interconnection of stream-processing modules. Each module may be mapped to a set of threads run on a group of processing elements of a target multiprocessor. Performance is considered for two forms of multiprocessor architecture, one based on conventional DSP technology and the other on a multithreaded-processing element design.

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22

Zhyrnov, V., S. Solonskaya, and I. Shubin. "Evaluation of radar image processing efficiency based on intelligent analysis of processes." Radiotekhnika, no. 207 (December 24, 2021): 83–88. http://dx.doi.org/10.30837/rt.2021.4.207.09.

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The paper presents results of development of the method and experimental studies of the system for automatic detection of radar signals of aerial objects and their recognition with the processing of real records in surveillance radars. The relevance of this work consists in creation of algorithms for automatic information processing to ensure effective detection of useful signals due to accumulation of signal (energy) and semantic information. The method is based on the definition of semantic components at the stage of formation and analysis of the symbolic model of signals from point and extended air objects. Signal information is described by the predicate function of process knowledge of the formation and analysis of a symbolic model of a burst of impulse signals from point-like mobile aircraft such as an airplane, a helicopter, a UAV, and from extended atmospheric formations such as angel-echoes, clouds. As a result of semantic analysis of symbolic images of signal marks, classification distinctive features of air objects were obtained. The semantic components of the decision-making algorithm, similar to the decision-making algorithms used by the operator, have been investigated. In the developed algorithm, signal information is described by a predicate function on the set of signal mark pulse amplitudes that have exceeded a certain threshold value. Recognizing of aerial objects is carried out by solving the developed equations of predicate operations. The verification of the developed method was carried out on real data obtained on a survey radar of the centimeter range (pulse duration was 1 μs, probing frequency wass 365 Hz, survey period was 10 s). Based on these data, the types of characteristic marks of radar signals are modeled. According to the results of the experiments, they were all correctly identified.

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23

Gurnov, K. B., and E. M. Izotova. "Simulation of SAR signal processing system in telescopic mapping." Issues of radio electronics, no. 12 (February 3, 2021): 23–29. http://dx.doi.org/10.21778/2218-5453-2020-12-23-29.

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At the present stage of development of surveillance tools, the most popular are radar tools. A special place among such systems is occupied by radars with a synthesized antenna aperture, which make it possible to obtain high-resolution radar images with a relatively small size of the antenna system. The creation of such radar facilities has a number of features, which increases the cost of the development process and increases the time frame, and verification of work can be complicated by the inability to form the required conditions. To eliminate such difficulties, it is advisable to create adequate mathematical models of systems that would allow you to conduct all the necessary tests and work out algorithms, with minimal time spent. In this paper, a phenomenological model of the reflected signal in SAR is proposed, and a SAR model is developed that has a block structure and can be supplemented with modules to identify new dependencies.

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24

Vujović, Igor, Joško Šoda, and Ivica Kuzmanić. "Cutting-edge Mathematical Tools in Processing and Analysis of Signals in Marine and Navy." Transactions on Maritime Science 1, no. 1 (April 18, 2012): 35–46. http://dx.doi.org/10.7225/toms.v01.n01.005.

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Signal processing plays a pivotal role in information gathering and decision making. This paper presents and compares different signal processing techniques used in marine and navy applications, primarily based on using wavelets as kernel. The article covers Fourier transform, time frequency wavelet based techniques such as bandelets, contourlets, curvelets, edgelets, wedgelets, shapelets, and ridgelets. In the example section of the paper, several transform techniques are presented and commented on the harbour surveillance video stream example.

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25

LAHAIE, PIERRE, J. R. SIMARD, J. MCFEE, S. BUTEAU, J. HO, P. MATHIEU, G. ROY, and V. LAROCHELLE. "SPECTRAL PROCESSING OF LASER-INDUCED FLUORESCENCE FROM THREATENING BIOLOGICAL AEROSOLS." International Journal of High Speed Electronics and Systems 18, no. 02 (June 2008): 429–43. http://dx.doi.org/10.1142/s0129156408005461.

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The stand-off detection classification by laser induced fluorescence is the objective of the Biosense project. The sensor will perform the monitoring of a defined area around its location using an elastic lidar detector for particles cloud. The detection of cloud will trigger fluorescence probing of the cloud. To perform this task the area fluorescence background will be monitored in order to evaluate if a return signal changed. Using a simple signal model built with experimental data, we designed a detection and monitoring procedure for the fluorescence at a single location. Signal simulations have been performed to verify the operation of the system. The results of the simulation indicate the system is able to detect anomaly with small contrast between a signal and the background. The results will have to be extended to area surveillance and a more complete signal model for various environments in natural conditions is required

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26

Chavarria, J. Andres, Todd Bown, Paul Clarkson, Simon Watson, and Chris Minto. "Digitalization of asset surveillance through distributed fiber-optic sensing: Geophysics and engineering diagnostics and streaming." Leading Edge 41, no. 9 (September 2022): 636–40. http://dx.doi.org/10.1190/tle41090636.1.

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Fiber-optic distributed acoustic sensing (DAS) can listen to a wide range of signals. This listening takes place at high sampling rates with fine spatial resolution, resulting in large data volumes. Data streaming solutions are available but result in large transmission and storage costs. In this paper, we describe strategies to convert large data streams from DAS interrogator units to diagnostics or processed products. Optimizing DAS systems results in higher signal-to-noise ratio for signals while extracting diagnostic features out of the noise that could be related to production or well engineering. DAS has sensitivity to diverse signals, and the first goal of edge processing is to separate them for consumption by various disciplines. Focusing the processing on specific aspects in the DAS recordings provides data products that are streamed in efficient ways. We show how DAS processing can deploy fast algorithms so that data diagnostics are sent to remote locations. This enables real-time-diagnostics and event-detection tools. By providing the bulk of computing in the field, data upload to remote servers is efficient and targeted. We show how this managed data stream enables digitalization of engineering and geoscience assets.

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27

Cho, John Y. N. "Enhanced Signal Processing Algorithms for the ASR-9 Weather Systems Processor." Journal of Atmospheric and Oceanic Technology 32, no. 10 (October 2015): 1847–59. http://dx.doi.org/10.1175/jtech-d-15-0003.1.

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AbstractNew signal processing algorithms for the Airport Surveillance Radar-9 (ASR-9) Weather Systems Processor (WSP) are introduced. The Moving Clutter Spectral Processing for Uneven-Sampled Data with Dealiasing (MCSPUDD) algorithm suite removes isolated moving clutter targets and corrects aliased velocity values on a per-range-gate basis. The spectral differencing technique is applied to the low- and high-beam data to produce a dual-beam velocity estimate that is more accurate than the current autocorrelation-lag-1-based approach. Comparisons with Terminal Doppler Weather Radar (TDWR) data show that estimate errors are reduced by 8%, 15%, and 15% for the low-, high-, and dual-beam velocities, respectively.

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Lin, Mao, Yong Wang, and Gang Shi. "Social Security Video Surveillance Systems." Advanced Materials Research 433-440 (January 2012): 5906–10. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5906.

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the reform and open policy has brought us Chinese people rich and colorful. However, the disparity between the rich and poor gap are increasing due to the uneven development in Chinese economic so that state of social security become more and more terrible than the pass. Thus, it is very meaningful to establish a social security video surveillance system to achieve security linkage management by this way that monitors the important insecure point by installing one or more camera to capturing the situation real-time. When there is something happen, the monitoring center will cause an alert signal to administer for further processing. In this paper, we present a scheme to achieve the social security requirement.

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29

Velastin, S. A. "Editorial: Intelligent distributed surveillance systems." IEE Proceedings - Vision, Image, and Signal Processing 152, no. 2 (2005): 191. http://dx.doi.org/10.1049/ip-vis:20059045.

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30

Anderson, Christopher R., Richard K. Martin, T. Owens Walker, and Ryan W. Thomas. "Radio Tomography for Roadside Surveillance." IEEE Journal of Selected Topics in Signal Processing 8, no. 1 (February 2014): 66–79. http://dx.doi.org/10.1109/jstsp.2013.2286774.

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31

Zima, Daria, Darya Sokolova, and Alexander Spector. "Spatiotemporal processing of broadband signals based on the linear prediction model." Proceedings of the Russian higher school Academy of sciences, no. 4 (January 20, 2021): 17–31. http://dx.doi.org/10.17212/1727-2769-2020-4-17-31.

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The main developments in the field of radar surveillance systems are aimed at studying their functioning, taking into account the influence of various factors, such as the effect of interference. The most important thing seems to be the detection of a broadband signal, which makes it possible to increase the range and speed resolution. This raises the problem of suppressing broadband interference with existing methods. The paper develops methods for processing broadband signals in the presence of active interference as applied to the use in systems with various variants of spatio-temporal antenna elements, in particular on the example of linear antenna arrays. The approach is based on the representation of signals and interference recorded by a digital antenna array in the form of multidimensional spatiotemporal processes, i.e. functions of spatial and temporal coordinates. This is due to both the spatial distribution of the antenna array elements and the spatial distribution of interference. Bayesian signal detector is the optimal algorithm and has the best characteristics, but at the same time its practical implementation is extremely difficult, carried out in the field of spatiotemporal coordinates. The investigated processing algorithms are based on the linear prediction model, i.e. by using the model of a Markov random process to describe interference on spatially distributed antenna elements. Particular attention is paid to the development of algorithms that can be implemented with limited computing resources and work in real time, which is a problem of statistical methods of signal processing.

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32

Taoum, Aline, Farah Mourad-Chehade, and Hassan Amoud. "Evidence-based model for real-time surveillance of ARDS." Biomedical Signal Processing and Control 50 (April 2019): 83–91. http://dx.doi.org/10.1016/j.bspc.2019.01.016.

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33

Ehala, Johannes, Jaanus Kaugerand, Raido Pahtma, Sergei Astapov, Andri Riid, Timo Tomson, Jürgo-Sören Preden, and Leo Mõtus. "Situation awareness via Internet of things and in-network data processing." International Journal of Distributed Sensor Networks 13, no. 1 (January 2017): 155014771668657. http://dx.doi.org/10.1177/1550147716686578.

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Computing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes. This poses a challenge to distributed sensor networks of low computing power devices that have to do complex fusion, aggregation and signal processing in situ. One of the difficulties lies in ensuring validity of data collected from heterogeneous sources. Ensuring data validity, for example, the temporal and spatial correctness of data, is crucial for correct in-network data fusion and aggregation. The article considers wireless sensor technology in military domain with the aim of improving situation awareness for military operations. Requirements for contemporary intelligence, surveillance and reconnaissance applications are explored and an experimental wireless sensor network, designed to enhance situation awareness to both in-the-field units and remote intelligence operatives, is described. The sensor nodes have the capability to perform in-sensor signal processing and distributed in-network data aggregation and fusion complying with edge computing paradigm. In-network data processing is supported by service-oriented middleware which facilitates run-time sensor discovery and tasking and ad hoc (re)configuration of the network links. The article describes two experiments demonstrating the ability of the wireless sensor network to meet intelligence, surveillance and reconnaissance requirements. The efficiency of distributed data fusion is evaluated and the importance and effect of establishing data validity is shown.

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Kim, Yong Guk, Dong Gwan Kim, Kyucheol Kim, Chang-Ho Choi, Nam In Park, and Hong Kook Kim. "An Efficient Compression Method of Underwater Acoustic Sensor Signals for Underwater Surveillance." Sensors 22, no. 9 (April 29, 2022): 3415. http://dx.doi.org/10.3390/s22093415.

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In this paper, we propose a new compression method using underwater acoustic sensor signals for underwater surveillance. Generally, sonar applications that are used for surveillance or ocean monitoring are composed of many underwater acoustic sensors to detect significant sources of sound. It is necessary to apply compression methods to the acquired sensor signals due to data processing and storage resource limitations. In addition, depending on the purposes of the operation and the characteristics of the operating environment, it may also be necessary to apply compression methods of low complexity. Accordingly, in this research, a low-complexity and nearly lossless compression method for underwater acoustic sensor signals is proposed. In the design of the proposed method, we adopt the concepts of quadrature mirror filter (QMF)-based sub-band splitting and linear predictive coding, and we attempt to analyze an entropy coding technique suitable for underwater sensor signals. The experiments show that the proposed method achieves better performance in terms of compression ratio and processing time than popular or standardized lossless compression techniques. It is also shown that the compression ratio of the proposed method is almost the same as that of SHORTEN with a 10-bit maximum mode, and both methods achieve a similar peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) index on average.

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Zhirnov, V. V., V. S. Komisaruk, and L. Z. Sakhnovskaya. "Choice of Adaptive Decision-Making Threshold for Multiscan Signal Processing in Surveillance Radar Systems." Telecommunications and Radio Engineering 52, no. 10 (1998): 64–66. http://dx.doi.org/10.1615/telecomradeng.v52.i10.170.

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Roenko, A. A., V. V. Lukin, A. V. Totsky, I. Djurovic, and J. T. Astola. "ROBUST DFT-BASED SIGNAL PROCESSING FOR VEGETATION CLUTTER SUPPRESSION IN GROUND SURVEILLANCE DOPPLER RADARS." Telecommunications and Radio Engineering 70, no. 18 (2011): 1659–72. http://dx.doi.org/10.1615/telecomradeng.v70.i18.50.

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Saponara, Sergio, and Bruno Neri. "Radar Sensor Signal Acquisition and Multidimensional FFT Processing for Surveillance Applications in Transport Systems." IEEE Transactions on Instrumentation and Measurement 66, no. 4 (April 2017): 604–15. http://dx.doi.org/10.1109/tim.2016.2640518.

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Sukhavasi, Susrutha Babu, Suparshya Babu Sukhavasi, Khaled Elleithy, Shakour Abuzneid, and Abdelrahman Elleithy. "CMOS Image Sensors in Surveillance System Applications." Sensors 21, no. 2 (January 12, 2021): 488. http://dx.doi.org/10.3390/s21020488.

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Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application.

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Strelnytskyi, Oleksii O., Iryna V. Svyd, Ivan I. Obod, Oleksandr S. Maltsev, and Ganna E. Zavolodko. "Optimization of Secondary Surveillance Radar Data Processing." International Journal of Intelligent Systems and Applications 11, no. 5 (May 8, 2019): 1–8. http://dx.doi.org/10.5815/ijisa.2019.05.01.

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Solokhina, T. V., J. J. Petrichkovich, A. V. Glushkov, A. A. Belyaev, D. A. Kuznetsov, and P. S. Poperechny. "MICROPROCESSOR FOR INTELLIGENT SPACE SURVEILLANCE SYSTEMS WITH SPACEWIRE/GIGASPACEWIRE/SPACEFIBRE LINKS." Issues of radio electronics, no. 8 (August 20, 2018): 13–19. http://dx.doi.org/10.21778/2218-5453-2018-8-13-19.

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The article presents architecture and main features of 90 nm CMOS radiation tolerant MCDE50F ASIC as multiprocessor heterogeneous SoC (System-on-Chip) which contains MIPS64 RISC core, graphic processing unit (GPU) and application-specific computer vision Elcore50 DSP. High-speed data input/output is performed by multiprotocol SpaceFibre/GigaSpaceWire/ SpaceWire ports combined with built-in multichannel SpaceFibre/GigaSpaceWire/SpaceWire based switch. MCDE50F ASIC is intended for space “intelligent” surveillance system applications, which require high computational performance in signal and image processing, including computer vision functions support, and high-speed deliverance of massive data arrays. An example of onboard data processing system structure based on MCDE50F ASIC is presented. Performance characteristics of MCDE50F ASIC implementing OpenVX standard functions are also given.

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Valera, M., and S. A. Velastin. "Intelligent distributed surveillance systems: a review." IEE Proceedings - Vision, Image, and Signal Processing 152, no. 2 (2005): 192. http://dx.doi.org/10.1049/ip-vis:20041147.

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Fu, Eugene Yujun, Hong Va Leong, Grace Ngai, and Stephen C. F. Chan. "Automatic fight detection in surveillance videos." International Journal of Pervasive Computing and Communications 13, no. 2 (June 5, 2017): 130–56. http://dx.doi.org/10.1108/ijpcc-02-2017-0018.

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Purpose Social signal processing under affective computing aims at recognizing and extracting useful human social interaction patterns. Fight is a common social interaction in real life. A fight detection system finds wide applications. This paper aims to detect fights in a natural and low-cost manner. Design/methodology/approach Research works on fight detection are often based on visual features, demanding substantive computation and good video quality. In this paper, the authors propose an approach to detect fight events through motion analysis. Most existing works evaluated their algorithms on public data sets manifesting simulated fights, where the fights are acted out by actors. To evaluate real fights, the authors collected videos involving real fights to form a data set. Based on the two types of data sets, the authors evaluated the performance of their motion signal analysis algorithm, which was then compared with the state-of-the-art approach based on MoSIFT descriptors with Bag-of-Words mechanism, and basic motion signal analysis with Bag-of-Words. Findings The experimental results indicate that the proposed approach accurately detects fights in real scenarios and performs better than the MoSIFT approach. Originality/value By collecting and annotating real surveillance videos containing real fight events and augmenting with well-known data sets, the authors proposed, implemented and evaluated a low computation approach, comparing it with the state-of-the-art approach. The authors uncovered some fundamental differences between real and simulated fights and initiated a new study in discriminating real against simulated fight events, with very good performance.

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Sadovskiy, I. S., Y. Y. Bobkov, and I. Y. Malevich. "Prototype of Mobile Meter Waveband Radar with Improved Functionality." Doklady BGUIR 20, no. 2 (April 5, 2022): 71–77. http://dx.doi.org/10.35596/1729-7648-2022-20-2-71-77.

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Actual stage of meter waveband radar evolution is the design of mobile radar with improved surveillance functions, as well as signal generation and processing. Such radars measure coordinates of aircraft in 3D space with adaptive change of operation frequency, parameters of probing signal, and polarization. Except radiolocation tasks, such radars allow to carry out integral information processing, EM analysis, ELINT, as well as jamming and clutter canceling, and must have height mobility and secrecy properties. The achievement of these properties is possible due to the application of digital antenna arrays with digital solid-state Tx/Rx modules, modular construction of all radar subsystems, digital beamforming technology, adoptive algorithms of space-time, and statistical processing of received signals. The prototype of meter-wavelength band radar system with height effectivity and informativity of radiolocation receiving, with the capability of fast moving and deploying is review in this article. The proposed radar system allows to provide measuring coordinates of an aircraft in 3D space, large distance detection, tracking and targeting of all types of aircrafts (including stealth aircrafts), carry out integral processing of radiolocation information, ELINT, EM analysis, as well as jamming and clatter canceling.

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Fetisov, S. E., and Yu P. Voloshin. "Range prediction issues for doppler related range error elimination, experiment results." Journal of «Almaz – Antey» Air and Space Defence Corporation, no. 3 (October 24, 2021): 25–30. http://dx.doi.org/10.38013/2542-0542-2021-3-25-30.

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Doppler related range measurement error (velocity error) can make a major contribution to the systematic error in radars with linear-frequency modulation of a probing pulse. The velocity error can be eliminated by range prediction. It was difficult to apply this approach to radars with analogue signal processing due to lack of advanced computer aids. In radars with digital signal processing, the velocity error in range measurements is often eliminated by estimating Doppler frequency. This paper covers issues related to the elimination of the velocity error by range prediction without Doppler frequency estimation and presents the experiment results at surveillance radar.

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Salom, Iva, Goran Dimić, Vladimir Čelebić, Marko Spasenović, Milica Raičković, Mirjana Mihajlović, and Dejan Todorović. "An Acoustic Camera for Use on UAVs." Sensors 23, no. 2 (January 12, 2023): 880. http://dx.doi.org/10.3390/s23020880.

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Airborne acoustic surveillance would enable and ease several applications, including security surveillance, urban and industrial noise monitoring, rescue missions, and wildlife monitoring. Airborne surveillance with an acoustic camera mounted on an airship would provide the deployment flexibility and utility required by these applications. Nevertheless, and problematically for these applications, there is not a single acoustic camera mounted on an airship yet. We make significant advances towards solving this problem by designing and constructing an acoustic camera for direct mounting on the hull of a UAV airship. The camera consists of 64 microphones, a central processing unit, and software for data acquisition and processing dedicatedly developed for far-field low-level acoustic signal detection. We demonstrate a large-aperture mock-up camera operation on the ground, although all preparations have been made to integrate the camera onto an airship. The camera has an aperture of 2 m and has been designed for surveillance from a height up to 300 m, with a spatial resolution of 12 m.

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Di Stefano, Luigi, Carlo Regazzoni, and Dan Schonfeld. "Advanced Video-Based Surveillance." EURASIP Journal on Image and Video Processing 2011 (2011): 1–2. http://dx.doi.org/10.1155/2011/857084.

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Marinković-Nedelicki, Verica, Jovan Radivojević, Predrag Petrović, and Aleksandar Lebl. "Implementation aspects of radio spectrum monitoring and surveillance system in the VHF/UHF frequency band." Telfor Journal 14, no. 1 (2022): 20–25. http://dx.doi.org/10.5937/telfor2201020m.

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The radio system for very/ultra high frequency (VHF/UHF) spectrum monitoring and signal processing used in direction finding is presented in this paper. This main system function is based on the implementation of a 6-channel VHF/UHF radio signal receiver. The multicoupler unit allows selection of the desired signal frequency band for the analysis in the receiver. The system implementation is verified according to the user requirements. Several measured electrical characteristics of multicoupler unit and receiver are presented just to illustrate their possibilities for the full application. Besides, the menus for both devices management are briefly described.

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Fuentealba, Patricio, Alfredo Illanes, and Frank Ortmeier. "Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling." Current Directions in Biomedical Engineering 4, no. 1 (September 1, 2018): 579–82. http://dx.doi.org/10.1515/cdbme-2018-0139.

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AbstractDuring labour, foetal monitoring enables clinicians to prevent potential adverse outcomes, whose surveillance procedure is commonly based on analysis of cardiotocographic (CTG) signals. Unfortunately, this procedure is difficult because it involves human interpretation of highly complex signals. In order to improve the CTG assessment, different approaches based on signal processing techniques have been proposed. However, most of them do not consider the progression of the foetal response over time. In this work, we propose to study such progression along the foetal heart rate (FHR) signal by using spectral analysis based on time-varying autoregressive modelling. The main idea is to investigate if a particular FHR signal episode in the time-domain reflects dynamical changes in the frequency-domain that can help to assess the foetal condition. Results show that each FHR deceleration leaves a particular time-varying frequency signature described by the spectral energy components which could help to distinguish between a normal and a pathological foetus.

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Stancil, Brian A., Cha Zhang, and Tsuhan Chen. "Active Multicamera Networks: From Rendering to Surveillance." IEEE Journal of Selected Topics in Signal Processing 2, no. 4 (August 2008): 597–605. http://dx.doi.org/10.1109/jstsp.2008.2001305.

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Carrillo, Paula, Hari Kalva, and Spyros Magliveras. "Compression Independent Reversible Encryption for Privacy in Video Surveillance." EURASIP Journal on Information Security 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/429581.

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