Relevant bibliographies by topics / Passive bistatic radar techniques

Academic literature on the topic 'Passive bistatic radar techniques'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Passive bistatic radar techniques"

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Chen, Yongqian, Songhua Yan, and Jianya Gong. "Deformation Estimation Using Beidou GEO-Satellite-Based Reflectometry." Remote Sensing 13, no. 16 (August 19, 2021): 3285. http://dx.doi.org/10.3390/rs13163285.

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Deformation monitoring has been brought to the fore and extensively studied in recent years. Global Navigation Satellite System Reflectometry (GNSS-R) techniques have so far been developed in deformation estimation applications, which however, are subject to the influence of mobile satellites. Rather than compensating for the path delay variations caused by mobile satellites, adopting Beidou geostationary Earth orbit (GEO) satellites as transmitters directly eliminates the satellite-motion-induced phase error and thus provides access to stable phase information. This paper presents a novel deformation monitoring concept based on GNSS-R utilizing Beidou GEO satellites. The geometrical properties of the GEO-based bistatic GNSS radar system are explored to build a theoretical connection between deformation quantity and the echo carrier phases. A deformation retrieval algorithm is proposed based on the supporting software receiver, thus allowing echo carrier phases to be extracted and utilized in deformation retrieval. Two field validation experiments are conducted by constructing passive bistatic radars with reflecting plates and ground receiver. Utilizing the proposed algorithm, the experimental results suggested that the GEO-based GNSS reflectometry can achieve deformation estimations with an accuracy of around 1 cm when the extracted phases does not exceed one complete cycle, while better than 3 cm when considering the correct integer number of phase cycles. Consequently, based on the passive bistatic radar system, the potential of achieving continuous, low-cost deformation monitoring makes this novel technique noteworthy.
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Liu, Baojin, Xiaoyong Lyu, and Wenbing Fan. "Analysis of 5G Signal for Radar Application." Journal of Physics: Conference Series 2356, no. 1 (October 1, 2022): 012027. http://dx.doi.org/10.1088/1742-6596/2356/1/012027.

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In this paper we evaluate the fifth generation (5G) communication signal from the perspective of radar sensing. The passive radars exploit the third-part transmitted signals in the space as the illuminators of opportunity (IoO), and has gained renewed interest. The 5G signal has large bandwidth and advanced modulation technique, offering great potential for radar uses. This paper takes an analysis of the 5G signal from the perspective of radar sensing. We provide a detailed description of the 5G signal protocol, and evaluate the detection capability of the 5G signal based passive radar in terms of bistatic range resolution, range resolution, the signal to noise ratio distribution. Furthermore, we introduce a signal processing method that may be a candidate for target sensing in the 5G signal based passive radar. Simulation verifies the effectiveness of this method.
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Rosado-Sanz, Javier, María Pilar Jarabo-Amores, David De la Mata-Moya, and Nerea Rey-Maestre. "Adaptive Beamforming Approaches to Improve Passive Radar Performance in Sea and Wind Farms’ Clutter." Sensors 22, no. 18 (September 10, 2022): 6865. http://dx.doi.org/10.3390/s22186865.

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This article presents the problem of passive radar vessel detection in a real coastal scenario in the presence of sea and wind farms’ clutter, which are characterised by high spatial and time variability due to the influence of weather conditions. Deterministic and adaptive beamforming techniques are proposed and evaluated using real data. Key points such as interference localisation and characterisation are tackled in the passive bistatic scenario with omnidirectional illuminators that critically increase the area of potential clutter sources to areas far from the surveillance area. Adaptive beamforming approaches provide significant Signal-to-Interference improvements and important radar coverage improvements. In the presented case study, an aerial target is detected 28 km far from the passive radar receiver, fulfilling highly demanding performance requirements.
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Zaman, Fawad, Ijaz Mansoor Qureshi, Ata Ur Rehman, and Shujaat Ali Khan Tanoli. "Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques." International Journal of Antennas and Propagation 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/982967.

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We assume Bistatic Phase Multiple Input Multiple Output radar having passive Centrosymmetric Cross Shape Sensor Array (CSCA) on its receiver. Let the transmitter of this Bistatic radar send coherent signals using a subarray that gives a fairly wide beam with a large solid angle so as to cover up any potential relevant target in the near field. We developed Heuristic Computational Intelligence (HCI) based techniques to jointly estimate the range, amplitude, and elevation and azimuth angles of these multiple targets impinging on the CSCA. In this connection, first the global search optimizers, that is,are developed separately Particle Swarm Optimization (PSO) and Differential Evolution (DE) are developed separately, and, to enhance the performances further, both of them are hybridized with a local search optimizer called Active Set Algorithm (ASA). Initially, the performance of PSO, DE, PSO hybridized with ASA, and DE hybridized with ASA are compared with each other and then with some traditional techniques available in literature using root mean square error (RMSE) as figure of merit.
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Hu, Panhe, Qinglong Bao, and Zengping Chen. "DOA Estimation Method in Multipath Environment for Passive Bistatic Radar." International Journal of Antennas and Propagation 2019 (June 20, 2019): 1–9. http://dx.doi.org/10.1155/2019/7419156.

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Direction-of-arrival (DOA) estimation in multipath environment is an important issue for passive bistatic radar (PBR) using frequency agile phased array VHF radar as illuminator of opportunity. Under such scenario, the main focus of this paper is to cope with the closely spaced uncorrelated and coherent signals in low signal-to-noise ratio and limited snapshots. Making full use of the characteristics of moduli of eigenvalues, the DOAs of the uncorrelated signals are firstly estimated. Afterwards, their contributions are eliminated by means of spatial difference technique. Finally, in order to improve resolution and accuracy DOA estimation of remaining coherent signals while avoiding the cross-terms effect, a new beamforming solution based iterative adaptive approach (IAA) is proposed to deal with a reconstructed covariance matrix. The proposed method combines the advantages of both spatial difference method and the IAA algorithm while avoiding their shortcomings. Simulation results validate its effectiveness; meanwhile, the good performances of the proposed method in terms of resolution probability, detection probability, and estimation accuracy are demonstrated by comparison with the existing methods.
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Zhao, Zhixin, Sihang Zhu, Yuhao Wang, Siyuan Cheng, and Sheng Hong. "Adaptive Radio Frequency Interference Mitigation for Passive Bistatic Radar Using OFDM Waveform." International Journal of Antennas and Propagation 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/1892512.

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High frequency passive bistatic radar (HFPBR) is a novel and promising technique in development. DRM broadcast exploiting orthogonal frequency division multiplexing (OFDM) technique supplies a good choice for the illuminator of HFPBR. HFPBR works in crowded short wave band. It faces severe radio frequency interference (RFI) problem. In this paper, a theoretical analysis of the range-domain correlation of RFI in OFDM-based HF radar is presented. A RFI mitigation method in the range domain is introduced. After the direct-path wave rejection, the interference subspace is constructed using the echo signals at the reserved range bins. Then RFI in the effective range bins is mitigated by the subspace projection, using the correlation among different range bins. The introduced algorithm is easy to perform in practice and the RFI mitigation performance is evaluated using the experimental data of DRM-based HFPBR.
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Hu, Panhe, Xiaolong Su, and Zhen Liu. "Direction Finding for Passive Bistatic Radar in the Presence of Multipath Propagation." Wireless Communications and Mobile Computing 2022 (December 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/7562517.

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In the case of multipath propagation for passive bistatic radar (PBR) using uncooperative frequency agile-phased array radar as an illuminator, a new direction-finding method is proposed to deal with the scenario where the coherent and uncorrelated signals are closely spaced or in the same direction. Firstly, spatial difference technique is used to eliminate uncorrelated signals. Then, in order to avoid the cross-terms effect and improve the resolution of coherent signal, the iterative adaptive method (IAA) is adopted for the rearranged spatial difference matrix. Finally, the direction of arrival (DOA) of the target signal is obtained by the reconstruction of the interference-plus-noise covariance matrix. Compared with previous studies, this method has better performance in the case of low signal-to-noise ratio (SNR) and limited number of snapshots.
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Abratkiewicz, Karol, and Piotr Samczyński. "A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction." Sensors 19, no. 22 (November 17, 2019): 5015. http://dx.doi.org/10.3390/s19225015.

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This paper presents a novel approach to fast and accurate non-linear pulse signal reconstruction dedicated for electromagnetic sensors and their applications such as ELectronic INTelligence (ELINT), electronic warfare (EW), electronic reconnaissance (ER) systems, as well as for passive bistatic radar purposes in which other pulse radars are used as a source of illumination. The method is based on the instantaneous chirp rate (CR) estimation in the time-frequency (TF) domain providing a calculation of the frequency rate between every two consecutive samples. Such a new method allows for the precise reconstruction of the non-linear frequency modulated (NLFM) signal to be carried out in significantly shorter time in comparison to methods known in the literature. The presented approach was tested and validated using both simulated and real-life radar signals proving the usability of the proposed solution in practical applications. The results were compared with the precise extended generalized chirp transform (EGCT) method as a reference technique, using optimal matched filtration as the main concept.
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Milani, Ileana, Carlo Bongioanni, Fabiola Colone, and Pierfrancesco Lombardo. "Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance." Remote Sensing 13, no. 18 (September 7, 2021): 3556. http://dx.doi.org/10.3390/rs13183556.

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In this work, we consider the joint use of different passive sensors for the localization and tracking of human targets and small drones at short ranges, based on the parasitic exploitation of Wi-Fi signals. Two different sensors are considered in this paper: (i) Passive Bistatic Radar (PBR) that exploits the Wi-Fi Access Point (AP) as an illuminator of opportunity to perform uncooperative target detection and localization and (ii) Passive Source Location (PSL) that uses radio frequency (RF) transmissions from the target to passively localize it, assuming that it is equipped with Wi-Fi devices. First, we show that these techniques have complementary characteristics with respect to the considered surveillance applications that typically include targets with highly variable motion parameters. Therefore, an appropriate sensor fusion strategy is proposed, based on a modified version of the Interacting Multiple Model (IMM) tracking algorithm, in order to benefit from the information diversity provided by the two sensors. The performance of the proposed strategy is evaluated against both simulated and experimental data and compared to the performance of the single sensors. The results confirm that the joint exploitation of the considered sensors based on the proposed strategy largely improves the positioning accuracy, target motion recognition capability and continuity in target tracking.
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Zhou, Xueqin, Hong Ma, and Hang Xu. "An Experimental Multi-Target Tracking of AM Radio-Based Passive Bistatic Radar System via Multi-Static Doppler Shifts." Sensors 21, no. 18 (September 15, 2021): 6196. http://dx.doi.org/10.3390/s21186196.

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This paper presents a description of recent research and the multi-target tracking in experimental passive bistatic radar (PBR) system taking advantage of numerous non-cooperative AM radio signals via multi-static doppler shifts. However, it raises challenges for use by multiple spatially distributed AM radio illuminators for multi-target tracking in PBR system due to complex data association hypotheses and no directly used tracking algorithm in the practical scenario. To solve these problems, after a series of key array signal processing techniques in the self-developed system, by constructing a nonlinear measurement model, the novel method is proposed to accommodate nonlinear model by using the unscented transformation (UT) in Gaussian mixture (GM) implementation of iterated-corrector cardinality-balanced multi-target multi-Bernoulli (CBMeMBer). Simulation and experimental results analysis verify the feasibility of this approach used in a practical PBR system for moving multi-target tracking.
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Dissertations / Theses on the topic "Passive bistatic radar techniques"

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Guo, H. "Wireless based passive bistatic radar." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/133369/.

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With the rapid development and deployment of 802.11 wireless network signals over recent years, wireless network transmission has become widely available in many public places. This has given rise to interest from many researchers in application of these systems to detection and tracking. However, the majority of this research is focussed on co-operative detection using base station signal triangulation methods. There has been little research on non-cooperative indoor detection using wireless communication signals. This dissertation offers a comprehensive study of non-cooperative passive bistatic wireless detection methods. This includes a review of the literature, and a detailed theoretical and experimental study to evaluate the performance of the performance of bistatic passive radar (PBR) using wireless signals as an illuminator of opportunity. The characteristics of 802.11 wireless LAN signal were investigated, including the modulation scheme, the effective bandwidth, and the shifting transmission rate, which all influence and contribute to passive radar performance. The bistatic range resolution is 27 m when there is a lower transmission rate (1 Mbps and 2 Mbps) using DSSS PHY (with 11 MHz bandwidth); and the bistatic range resolution is 15 m when there is a higher transmission rate (above 5 Mbps) using OFDM PHY (with 20 MHz bandwidth). The ambiguity functions of typical waveforms of the 802.11 wireless LAN signals were simulated and analyzed from the radar perspective after the investigation of the communication signal characteristics. The echo power performance was then investigated as the initial experiment using the 802.11 beacon signal in an anechoic chamber and real wireless data transmissions in an office environment. The measurements seemed to agree quite closely with the theoretical values in an ideal environment. A comprehensive range of experiments in both indoor and outdoor environments were then conducted to examine the range and Doppler detection performance. These experiments demonstrated the first reported results for non-cooperative detection of human and other targets using wireless transmissions. Performance bounds were determined from these experiments and direct and multipath signal suppression identified as key areas to improve performance. Direct signal interference cancellation methods based on an adaptive filter were therefore developed and verified with effective cancellation results. The adaptive filter method developed in this study improved target SIR by about 30 – 40 dB. This study was finally extended to consider longer range outdoor detection using 802.16 (WiMax) transmissions. Simulations were carried out for real maritime surveillance scenarios and compared with existing active radars. This preliminary study showed that wireless based passive radar has the potential to replace active systems in some scenarios and is the subject of ongoing studies.
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Howland, Paul Edward. "Television based bistatic radar." Thesis, University of Birmingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275123.

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Pisane, Jonathan. "Automatic target recognition using passive bistatic radar signals." Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-00963601.

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We present the design, development, and test of three novel, distinct automatic target recognition (ATR) systems for the recognition of airplanes and, more specifically, non-cooperative airplanes, i.e. airplanes that do not provide information when interrogated, in the framework of passive bistatic radar systems. Passive bistatic radar systems use one or more illuminators of opportunity (already present in the field), with frequencies up to 1 GHz for the transmitter part of the systems considered here, and one or more receivers, deployed by the persons managing the system, and not co-located with the transmitters. The sole source of information are the signal scattered on the airplane and the direct-path signal that are collected by the receiver, some basic knowledge about the transmitter, and the geometrical bistatic radar configuration. The three distinct ATR systems that we built respectively use the radar images, the bistatic complex radar cross-section (BS-RCS), and the bistatic radar cross-section (BS-RCS) of the targets. We use data acquired either on scale models of airplanes placed in an anechoic, electromagnetic chamber or on real-size airplanes using a bistatic testbed consisting of a VOR transmitter and a software-defined radio (SDR) receiver, located near Orly airport, France. We describe the radar phenomenology pertinent for the problem at hand, as well as the mathematical underpinnings of the derivation of the bistatic RCS values and of the construction of the radar images.For the classification of the observed targets into pre-defined classes, we use either extremely randomized trees or subspace methods. A key feature of our approach is that we break the recognition problem into a set of sub-problems by decomposing the parameter space, which consists of the frequency, the polarization, the aspect angle, and the bistatic angle, into regions. We build one recognizer for each region. We first validate the extra-trees method on the radar images of the MSTAR dataset, featuring ground vehicles. We then test the method on the images of the airplanes constructed from data acquired in the anechoic chamber, achieving a probability of correct recognition up to 0.99.We test the subspace methods on the BS-CRCS and on the BS-RCS of the airplanes extracted from the data acquired in the anechoic chamber, achieving a probability of correct recognition up to 0.98, with variations according to the frequency band, the polarization, the sector of aspect angle, the sector of bistatic angle, and the number of (Tx,Rx) pairs used. The ATR system deployed in the field gives a probability of correct recognition of $0.82$, with variations according to the sector of aspect angle and the sector of bistatic angle.
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Sendall, Joshua Leigh. "Implementation of a low-cost bistatic radar." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/61335.

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Passive radar detects and ranges targets by receiving signals which are reflected off targets. Communication transmissions are generally used, however, theoretically any signal with a suitable ambiguity function may be used. The exploitation of an existing transmitter and the removal of emissions allow passive radars to act as a complementary sensor which is useful in environments where conventional active radar is not well suited. Such environments are in covert operations and in situations where a low cost or spectrally efficient solution is required. Most developed passive radars employ intensive signal processing and use application specific equipment to achieve detection. The high-end processors and receiver equipment, however, detract from some of the inherent advantages in the passive radar architecture. These include the lower cost and power requirements achieved by removing transmitter hardware. This study investigates the challenges faced when removing application-specific and high end components from the system and replacing them with low-cost alternatives. Solutions to these challenges are presented and validated by designing and evaluating a radar using these principles. It was found that the major limitation in passive radar is the dynamic range of the receiver. While processing the signals was, and is, a significant challenge, be implemented on a low-cost, low-power embedded processor. This was achieved by asserting a few limitations to the configuration, exploiting the subsequently generated redundancy, and taking advantage of the parallelism by using general purpose graphics processing.. Even on this processor, the system was able to run in real time and able to detect targets up to 91 km (bistatic range of 195 km) from the radar.
Dissertation (MEng)--University of Pretoria, 2016.
Electrical, Electronic and Computer Engineering
MEng
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Lange, Gunther Erich. "Performance prediction and improvement of a Bistatic Passive coherent location Radar." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/5187.

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Passive Coherent Location (PCL) radar has proved to be feasible in a number of experimental systems, but the lack of comprehensive, published flight trials detracts somewhat from serious consideration of these PCL systems for operational applications, such as Air Traffic Control (ATC). The carrying out of flight trials is, in any case, difficult and very expensive. This dissertation presents a method for accurately predicting the performance of a bistatic passive coherent location radar with the effects of the environment taken into account. The effect of the environement on a propagating electromagnetic wave is obtained from the Advanced Refractive Effects Prediction System (AREPS) model. The resulting performance predictions, in the form of spatial signal-to-noise ratio (SNR), signal-to-interference ratio (SIR) and signal-to-noise-plus-interference ratio (SNIR) maps, provide a powerful planning tool for the application of systems such as ATC. Furthermore, the spatial coverage maps, based on the bistatic radar equation, can be related to a particular probability of detection and false alarm as well as to a required dynamic range of the receiver ADC. Overall, the method provides a visual, as well as a quantitative measure of radar coverage with region-specific atmospheric and terrain effects taken into account. The method proposed in this dissertation offers a marked improvement over traditional performance prediction methods based on the bistatic radar equation within a free space or flat terrain environment. It is understood that the direct path signal of the illuminating transmitter is the cause of some severe limitations within a PCL system. In the interest of suppressing the strong direct signal before the ADC and to complement the development of the prediction method, an antenna pattern was synthesised and applied to an array of folded dipoles in order to place a null in the direction of the strong transmitter. The synthesised antenna pattern and its improvement on the performance of the PCL system was then evaluated using the proposed prediction method presented in this dissertation.
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Andersson, Anders, and Daniel Hallgren. "Passive Aircraft Altimetry using GPS as a Bistatic Radar : A simulation model." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1958.

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A common way to measure height in aerial vehicles is to use a radar height altimeter (RHM). Since the RHM transmits radar pulses that can be detected, a passive alternative would be desirable in military applications. The idea to use reflected signals from the Global Positioning System (GPS) as a bistatic radar, has been established over the last years. The GPS signals are already present and would not reveal aeroplanes in covert operations.

In this thesis, the use of reflected GPS signals as a bistatic, passive altimeter is examined. A simulation model has been developed and implemented, and simulations using the model have been done. Different types of ground cover have been investigated, both water and land types, with varying reflectivity and scattering behaviour. For larger terrain variations, e.g. mountains and valleys, a ground elevation database has been used. Furthermore, several parameters, like the antenna coverage and the satellite elevation angle, have been varied and the result of this examined.

The results of these simulations show that measuring height is possible for bothsea and land surfaces. The accuracy depends on several error factors, like a bias originating from surface roughness and measurement errors due to noise in the receiver. The simulations also show that the most important design parameter is the antenna, which must be designed to give a sufficiently large SNR, capture the specular reflection and avoid unwanted reflections.

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Olsen, K. E. "Investigation of bandwidth utilisation methods to optimise performance in passive bistatic radar." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1333270/.

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This thesis reports on research into the field of multiband Passive Bistatic Radar (PBR). The work is based on the premise that it is possible to improve on the PBR range resolution by exploiting the full broadcasted bandwidth from transmitters of opportunity. This work comprises both Frequency Modulated (FM) radio and Digital Video Broadcast - Terrestrial (DVB-T) waveforms. The work shows how the exploitation of the available frequency scattered bandwidth broadcasted from single broadcast towers can be achieved by coherently by combining each of the individual channels/bands, and that the range resolution is improved accordingly. The major contributions of this thesis may be divided into the following parts: Hardware (HW) design and development, algorithm development, simulations, real target data analysis, and finally non-cooperative target recognition and High Range Resolution (HRR) considerations. The work comprises simple PBR performance predictions for various strong transmitters of opportunity in the southeastern parts of Norway. Hardware for data recording was designed, produced and made working. The mathematics for coherently combining non-adjacent single channels/bands in the range correlation was developed. The range resolution performance of the algorithm was supported by theoretical simulations using pseudo random generated signals, as well as simulations using real recorded FM radio and DVB-T signals from nearby strong transmitters. For FM radio and DVB-T airliners and for DVB-T also a propeller aircraft were analyzed. The theoretical claims were supported by the real life target analysis, as the range resolution was improved as predicted for all targets. For the DVB-T waveform, an analysis of the HRR profiles showed that two targets of different type was manually classified as targets of different type. This work has fully closed the circle from idea, HW design, development and testing, theoretical algorithm development and simulations, and finally real world performance analysis as well as target analysis.
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Joshi, Sujay S. "Multi-Target Tracking via Nonlinear Least Squares Using Doppler Measurements from a Passive Radar System." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14576.

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A passive radar systems opportunistic ability to exploit ambient radio signal reflections makes it ideal for covert target tracking. This strategy, referred to as passive covert radar (PCR) or passive coherent location (PCL), typically exploits FM radio or television signals from powerful local transmitters. In addition to covertness, the absence of a dedicated transmitter helps reduce costs and overall system complexity. While a variety of measurements can be used to estimate a targets position and velocity, such as time difference of arrival (TDOA) and direction of arrival (DOA), this thesis focuses on using only Doppler shift measurements to estimate a targets state. The work presented in this thesis examines the use of Doppler shift measurements from multiple receivers to solve the target tracking and association problem. A nonlinear least squares error (NLSE) estimation technique, called the Levenberg-Marquardt (L-M) algorithm, is used to determine a targets state (position, velocity) from these Doppler shift measurements. More than one target state can potentially produce identical Doppler shift profiles. In a single-receiver, single-target scenario, it is shown that three additional ghost targets caused by symmetry produce the same Doppler shift response. These ghosts may make state estimation impossible if receive antennas are not physically positioned to block out ghost targets. While the NLSE technique tends to give an accurate solution in one quadrant, three other solutions will symmetrically exist in each of the remaining three quadrants. The addition of either another receiver or another measurement (such as DOA) is needed to break this quadrant ambiguity. This thesis considers adding multiple receivers to accurately associate and track multiple targets. Two target association methods (sequential and simultaneous) are developed, and their computational requirements and accuracy are compared. A grid-aided L-M search technique is investigated in an attempt to provide a better initial target state guess to these association and tracking algorithms. The analysis and simulation results suggest it is feasible to perform multi-target association and tracking using Doppler shift as the sole measurement. Both of the proposed methods gave optimal target association and converged to reasonably accurate state estimates in most of the Monte Carlo runs.
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Mahfoudia, Osama. "DVB-T based bistatic passive radars in noisy environments." Doctoral thesis, Universite Libre de Bruxelles, 2017. https://dipot.ulb.ac.be/dspace/bitstream/2013/258499/5/contratOM.pdf.

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Passive coherent location (PCL) radars employ illuminators of opportunity to detect and track targets. This silent operating mode provides many advantages such as low cost and interception immunity. Many radiation sources have been exploited as illumination sources such as broadcasting and telecommunication transmitters. The classical architecture of the bistatic PCL radars involves two receiving channels: a reference channel and a surveillance channel. The reference channel captures the direct-path signal from the transmitter, and the surveillancesignal collects the possible target echoes. The two major challenges for the PCL radars are the reference signal noise and the surveillance signal static clutter. A noisy reference signal degrades the detection probability by increasing the noise-floor level of the detection filter output. And the static clutter presence in the surveillance signal reduces the detector dynamic range and buries low magnitude echoes.In this thesis, we consider a PCL radar based on the digital video broadcasting-terrestrial (DVB-T) signals, and we propose a set of improved methods to deal with the reference signal noise and the static clutter in the surveillance signal. The DVB-T signals constitute an excellentcandidate as an illumination source for PCL radars; they are characterized by a wide bandwidth and a high radiated power. In addition, they provide the possibility of reconstructing the reference signal to enhance its quality, and they allow a straightforward static clutter suppressionin the frequency domain. This thesis proposes an optimum method for the reference signal reconstruction and an improved method for the static clutter suppression.The optimum reference signal reconstruction minimizes the mean square error between the reconstructed signal and the exact one. And the improved static clutter suppression method exploits the possibility of estimating the propagation channel. These two methods extend thefeasibility of a single receiver PCL radar, where the reference signal is extracted from the direct-path signal present in the surveillance signal.
Doctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
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Christiansen, Jonas Myhre. "DVB-T based Passive Bistatic Radar : Simulated and experimental data analysis of range and Doppler walk." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9849.

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Books on the topic "Passive bistatic radar techniques"

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Novel Radar Techniques and Applications: Real aperture array radar, Imaging radar, and Passive and multistatic radar. Scitech Publishing, 2017.

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Gierull, Christoph H., Pierfrancesco Lombardo, Ulrich Nickel, and Richard Klemm. Novel Radar Techniques and Applications: Real Aperture Array Radar, Imaging Radar, and Passive and Multistatic Radar, Volume 1. Institution of Engineering & Technology, 2017.

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Klemm, Richard, Ulrich Nickel, Christoph Gierull, Pierfrancesco Lombardo, Hugh Griffiths, and Wolfgang Koch, eds. Novel Radar Techniques and Applications Volume 1: Real Aperture Array Radar, Imaging Radar, and Passive and Multistatic Radar. Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/sbra512f.

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Book chapters on the topic "Passive bistatic radar techniques"

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Zhang, Cai-Sheng, Xiao-Ming Tang, You He, and Jia-Hui Ding. "Passive Bistatic Radar Target Location Method and Observability Analysis." In Lecture Notes in Electrical Engineering, 443–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21697-8_56.

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Venu, D., and N. V. Koteswara Rao. "Compressed Sensing Based Mixed Noise Cancellation in Passive Bistatic Radar." In Learning and Analytics in Intelligent Systems, 389–404. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38501-9_39.

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Pan, Jiameng, Panhe Hu, Qian Zhu, and Qinglong Bao. "Direct Wave Parameters Estimation of Passive Bistatic Radar Based on Uncooperative Phased Array Radar." In Lecture Notes in Electrical Engineering, 579–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_68.

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Qian, Jiachuan, Haijie Li, and Huijie Zhu. "Experimental Study on Target Localization for DTMB-Based Passive Bistatic Radar." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 201–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90196-7_18.

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Rui, Duan, Wang Xuegang, and Chen Zhuming. "Time-Varying Weighting Techniques for Airborne Bistatic Radar Clutter Suppression." In Communications in Computer and Information Science, 171–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02342-2_24.

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Fenrich, F. R., C. L. Waters, M. Connors, and C. Bredeson. "Ionospheric signatures of ULF waves: Passive radar techniques." In Magnetospheric ULF Waves: Synthesis and New Directions, 259–71. Washington, D. C.: American Geophysical Union, 2006. http://dx.doi.org/10.1029/169gm17.

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Song, Jie, Guo-qing Wang, and Xiao-long Chen. "An Experimental Study of Sea Target Detection of Passive Bistatic Radar Based on Non-cooperative Radar Illuminators." In Lecture Notes in Electrical Engineering, 1002–9. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_117.

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Zhang, Caisheng, Xiaoming Tang, and Jiahui Ding. "Coherent Integration Loss due to Transmit Antenna Scanning Modulation Effect on Passive Bistatic Radar." In Advanced Electrical and Electronics Engineering, 163–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19712-3_20.

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Wen, Yuanyuan, Lin Bai, Xi Zhang, She Shang, Dawei Song, and Shuai Guo. "Algorithm for Multipath Interference Restraint Based on Blind Source Separation in Passive GNSS-Based Bistatic Radar." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 371–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67514-1_30.

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Griffiths, Hugh. "Passive Bistatic Radar." In Academic Press Library in Signal Processing: Volume 2 - Communications and Radar Signal Processing, 813–55. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-396500-4.00016-8.

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Conference papers on the topic "Passive bistatic radar techniques"

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Li, Q., S. Reboul, S. Boutoille, J. B. Choquel, M. Benjelloun, and A. Gardel. "Beach soil moisture measurement with a land reflected GPS bistatic radar technique." In 2008 New Trends for Environmental Monitoring Using Passive Systems (PASSIVE 2008). IEEE, 2008. http://dx.doi.org/10.1109/passive.2008.4787002.

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Santi, F., M. Bucciarelli, D. Pastina, and M. Antoniou. "CLEAN technique for passive bistatic and multistatic SAR with GNSS transmitters." In 2015 IEEE International Radar Conference (RadarCon). IEEE, 2015. http://dx.doi.org/10.1109/radar.2015.7131182.

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Wang, Feng, Yi Zhou, Hao Wang, Chao Liang, and Yunshu Wu. "Performance Improvement Using Illuminator Cognition Technique for Passive Bistatic Radar." In 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). IEEE, 2019. http://dx.doi.org/10.1109/eitce47263.2019.9095094.

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Santi, Fabrizio, Debora Pastina, and Marta Bucciarelli. "Maritime moving target detection technique for passive bistatic radar with GNSS transmitters." In 2017 18th International Radar Symposium (IRS). IEEE, 2017. http://dx.doi.org/10.23919/irs.2017.8008214.

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O'Hagan, Daniel W., H. Kuschel, and Joachim Schiller. "Passive bistatic radar analysis." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, edited by Ryszard S. Romaniuk and Krzysztof S. Kulpa. SPIE, 2009. http://dx.doi.org/10.1117/12.837450.

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O'Hagan, D. W., F. Colone, C. J. Baker, and H. D. Griffiths. "Passive bistatic radar (PBR) demonstrator." In IET International Conference on Radar Systems 2007. IEE, 2007. http://dx.doi.org/10.1049/cp:20070663.

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Garry, J. L., C. J. Baker, G. E. Smith, and Robert Ewing. "Doppler imaging for passive bistatic radar." In 2013 IEEE Radar Conference (RadarCon). IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6586079.

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Chetty, Kevin, Karl Woodbridge, Hui Guo, and Graeme E. Smith. "Passive bistatic WiMAX radar for marine surveillance." In 2010 IEEE Radar Conference. IEEE, 2010. http://dx.doi.org/10.1109/radar.2010.5494627.

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Wan Xianrong, Zhao Zhixin, Zhang Delei, and Shao Qihong. "HF passive bistatic radar based on DRM illuminators." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159499.

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Brown, J., K. Woodbridge, S. Watts, and A. Stove. "VHF airborne passive bistatic radar ground clutter investigation." In IET International Conference on Radar Systems (Radar 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1684.

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Reports on the topic "Passive bistatic radar techniques"

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Henson, James M. Key Techniques and Algorithms for the Development of an Air-to-Ground Bistatic Imaging Radar Simulation. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada392014.

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