Relevant bibliographies by topics / Radar theory

Academic literature on the topic 'Radar theory'

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Published: 25 July 2024
Last updated: 31 July 2024

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Journal articles on the topic "Radar theory"

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Junyent, Francesc, and V. Chandrasekar. "Theory and Characterization of Weather Radar Networks." Journal of Atmospheric and Oceanic Technology 26, no. 3 (March 1, 2009): 474–91. http://dx.doi.org/10.1175/2008jtecha1099.1.

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Abstract A dense weather radar network is an emerging concept advanced by the Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA). In a weather radar environment, the specific radar units employed and the network topology will influence the characteristics of the data obtained. To define this, a general framework is developed to describe the radar network space, and formulations are obtained that can be used for weather radar network characterization. The models developed are useful for quantifying and comparing the performance of different weather radar networks. Starting with system characteristics that are used to specify individual radars, a theoretical basis is developed to extend the concept to network configurations of interest. A general network elemental cell is defined and employed as the parameterized domain over which different coverage aspects (such as detection sensitivity, beam size, and minimum beam height) are studied using analytical tools developed in the paper. Other important parameters are the number of different radars with overlapping coverage at a given point in the network domain and the coverage area and number of radars of a network and its elemental cells. A combination of analytical and numerically derived expressions is employed to obtain these parameters for several configurations. The radar network characterization tools developed are applied to the comparison of individual radar and networked radar configurations of interest. The values used in the calculations illustrate the CASA Integrated Project 1 (IP1) radar network and are compared to other radar systems.
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Silva, Murilo Teixeira, Weimin Huang, and Eric W. Gill. "Bistatic High-Frequency Radar Cross-Section of the Ocean Surface with Arbitrary Wave Heights." Remote Sensing 12, no. 4 (February 18, 2020): 667. http://dx.doi.org/10.3390/rs12040667.

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The scattering theory developed in the past decades for high-frequency radio oceanography has been restricted to surfaces with small heights and small slopes. In the present work, the scattering theory for bistatic high-frequency radars is extended to ocean surfaces with arbitrary wave heights. Based on recent theoretical developments in the scattering theory for ocean surfaces with arbitrary heights for monostatic radars, the electric field equations for bistatic high-frequency radars in high sea states are developed. This results in an additional term related to the first-order electric field, which is only present when the small-height approximation is removed. Then, the radar cross-section for the additional term is derived and simulated, and its impact on the total radar cross-section at different radar configurations, dominant wave directions, and sea states is assessed. The proposed term is shown to impact the total radar cross-section at high sea states, dependent on radar configuration and dominant wave direction. The present work can contribute to the remote sensing of targets on the ocean surface, as well as the determination of the dominant wave direction of the ocean surface at high sea states.
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Volosyuk, Valeriy, and Semen Zhyla. "Statistical Theory of Optimal Stochastic Signals Processing in Multichannel Aerospace Imaging Radar Systems." Computation 10, no. 12 (December 18, 2022): 224. http://dx.doi.org/10.3390/computation10120224.

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The work is devoted to solving current scientific and applied problems of the development of radar imaging methods. These developments are based on statistical theory of optimal signal processing. These developments allow researchers to create coherent high-resolution information-enriched images as well as incoherent images. These methods can be practically applied in multichannel aerospace radars through the proposed programs and algorithms. Firstly, the following models of stochastic signals at the output of multichannel registration regions of scattered electro-magnetic fields, internal noise, and observation equations are developed and their statistical characteristics investigated. For the considered models of observation equations, the likelihood functional is defined. This definition is an important stage in optimizing spatial and temporal signal processing. These signals are distorted by internal receiver noises in radar systems. Secondly, by synthesising and analysing methods of measuring a radar cross section, the problem of incoherent imaging by aerospace radars with planar antenna array is solved. Thirdly, the obtained optimal mathematical operations are physically interpreted. The proposed interpretation helps to implement a quasi-optimal algorithm of radar cross section estimation in aerospace radar systems. Finally, to verify the proposed theory, a semi-natural experiment of real radio holograms processing was performed. These radio holograms are digital recordings of spatial and temporal signals by an airborne synthetic aperture radar (SAR) system. The results of the semi-natural experiment are presented and analysed in the paper. All the calculations, developments and results in this paper can be applied to new developments in areas such as remote sensing or non-destructive testing.
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Srinivasan, R. "Distributed radar detection theory." IEE Proceedings F Communications, Radar and Signal Processing 133, no. 1 (1986): 55. http://dx.doi.org/10.1049/ip-f-1.1986.0010.

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Kutuzov, V. M., V. I. Veremyev, Nguyen Van Tuan, and E. N. Vorobev. "Feasibility Study of Using 5G Signals for Illumination Purposes in Passive Radar." Journal of the Russian Universities. Radioelectronics 27, no. 1 (February 29, 2024): 67–78. http://dx.doi.org/10.32603/1993-8985-2024-27-1-67-78.

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Introduction. Passive radars perform target detection based on reflected signals emitted by third-party transmitters. The absence of its own transmitter determines the main advantages of passive radars compared to conventional active radars: lower cost, silent operation, no electromagnetic impact on other radio equipment and the environment. Third-party transmitters of different telecommunication systems are currently used as illuminators of opportunity in passive radars. The emergence of new telecommunication standards opens additional prospects for the development of passive radars. For instance, the deployment of the fifth generation of mobile communications standard 5G with a higher bandwidth can potentially improve the accuracy of target detection in passive radars. Investigating the possibility of using signals from 5G transmitters for radar targets illumination is a relevant research task.Aim. To analyze the possibilities, limitations and prospects of using 5G signals as illuminators of opportunity in passive radar systems.Materials and methods. The methods of passive radar theory, communication theory, and comparative analysis were used. Evaluation of potential characteristics of target detection was carried out using computer statistical modelling in the MATLAB environment.Results. The peculiarities of 5G signals from the point of view of their application as illumination signals in passive radars are investigated. The potential target detection characteristics of a passive radar using 5G signals for target illumination are evaluated and compared with those of passive radars operating on signals from other transmitters. The 5G signal provides an improved range and velocity resolution than signals from other telecommunication systems.Conclusion. The comparative analysis shows that 5G NR signal transmitters can be used as a promising source of illumination in passive radar systems over relatively small areas.
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Wang, Chun Yu, Xing Long Qi, Shuo Chang, and Lin Ren. "The Decision Method of Electromagnetic Compatibility between Radars Based on the Theory of Signal Detection." Applied Mechanics and Materials 513-517 (February 2014): 2959–62. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2959.

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In order to determine the electromagnetic compatibility between radars better, this paper deduced the distribution character of signal+ noise+ jamming and the signal passing narrowband linear filtering system based on the signal detection theory, and established the quantitative relationship of the radar detection probability and jamming noise ratio on this basis, the detection probability was used to judge the electromagnetic compatibility between radars directly. The simulation experimental results showed that the detection probability was reduced with the increase of interference intensity, when the interference power exceeded the threshold of 1.7 dB, radar detection probability dropped to 50%.
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Anderson, Stuart. "Remote Sensing of the Polar Ice Zones with HF Radar." Remote Sensing 13, no. 21 (October 31, 2021): 4398. http://dx.doi.org/10.3390/rs13214398.

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Radars operating in the HF band are widely used for over-the-horizon remote sensing of ocean surface conditions, ionospheric studies and the monitoring of ship and aircraft traffic. Several hundreds of such radars are in operation, yet only a handful of experiments have been conducted to assess the prospect of utilizing this technology for the remote sensing of sea ice. Even then, the measurements carried out have addressed only the most basic questions: is there ice present, and can we measure its drift? Recently the theory that describes HF scattering from the dynamic sea surface was extended to handle situations where an ice cover is present. With this new tool, it becomes feasible to interpret the corresponding radar echoes in terms of the structural, mechanical, and electrical properties of the ice field. In this paper we look briefly at ice sensing from space-borne sensors before showing how the persistent and synoptic wide area surveillance capabilities of HF radar offer an alternative. The dispersion relations of different forms of sea ice are examined and used in a modified implementation of the electromagnetic scattering theory employed in HF radar oceanography to compute the corresponding radar signatures. Previous and present-day HF radar deployments at high latitudes are reviewed, noting the physical and technical challenges that confront the implementation of an operational HF radar in its ice monitoring capability.
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Goldstein, J. S., and I. S. Reed. "Theory of partially adaptive radar." IEEE Transactions on Aerospace and Electronic Systems 33, no. 4 (October 1997): 1309–25. http://dx.doi.org/10.1109/7.625132.

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Talich, Milan, Jan Havrlant, Lubomír Soukup, Tomáš Plachý, Michal Polák, Filip Antoš, Pavel Ryjáček, and Vojtěch Stančík. "Accuracy Analysis and Appropriate Strategy for Determining Dynamic and Quasi-Static Bridge Structural Response Using Simultaneous Measurements with Two Real Aperture Ground-Based Radars." Remote Sensing 15, no. 3 (February 2, 2023): 837. http://dx.doi.org/10.3390/rs15030837.

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Over the past 10 years, ground-based radar interferometry has become a frequently used technology for determining dynamic deflections of bridge structures induced by vehicle passages. When measuring with only one radar device, the so-called Interpretation Error (EI) considerably rises. When using two radars, it is possible to simultaneously determine, for example, vertical and longitudinal displacements and to eliminate the Interpretation Error. The aim of the article is to establish a suitable strategy for determining dynamic and quasi-static response of bridge structures based on the accuracy analysis of measurement by two radars. The necessary theory for displacements determination by means of two radar devices is presented. This is followed by an analysis of errors when measuring with only one radar. For the first time in the literature, mathematical formulas are derived here for determining the accuracy of the resulting displacements by simultaneous measurement with two radars. The practical examples of bridge structures displacements determination by measuring with two radar devices in the field are presented. The key contribution of the paper is the possibility to estimate and plan in advance the achievable accuracy of the resulting displacements for the given radar configurations in relation to the bridge structure.
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Bestugin, Aleksandr R., Maksim B. Ryzhikov, Yuliana A. Novikova, and Irina A. Kirshina. "Increasing the effectiveness of aircraft detection on catch-up courses in pulse-Doppler airborne radars with a low carrier flight altitude." T-Comm 17, no. 4 (2023): 11–16. http://dx.doi.org/10.36724/2072-8735-2023-17-4-11-16.

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Problem statement. The effectiveness of solving the problem of warning about possible collisions of small aircraft or unmanned aerial vehicles intended for the development of hard-to-reach territories depends on the time of early detection of another aircraft on intersecting trajectories. As a result of the comparative analysis of radar detection methods carried out in the article, taking into account the differences in the signal-interference situation characteristic of on-board pulse−Doppler radars for targets on catch-up courses in versions "multiple input - multiple output", "with joint a posteriori processing of results" and in traditional radar with active or passive phased antenna arrays have shown that the latter have energy advantages. Therefore, for this category of pulse-Doppler radars, a method for estimating the detection range on several frames is presented, which allows you to choose the logic of operation with an increase in the detection range. Research methods. The theory of antenna arrays and the theory of radar detection for pulse-Doppler radars were actively used in the work with the specified requirements for the probabilities of correct detection, false alarm and the selected model of fluctuations of the reflected useful signal. Purpose. To substantiate the advantages of technical solutions based on a traditional technical solution with phased antenna arrays for detection on catch-up courses and to develop recommendations for finding conditions that allow to increase the detection range. Results. The simulation results are presented, showing an improvement in the conditions for radar detection in onboard pulse-Doppler radars when finding the spectrum of the reflected radar signal in the Doppler frequency range, on which the spectrum of the reflected signal from the Earth's surface is superimposed when using radar with phased antenna arrays compared with spatial processing methods in MIMO and radars with joint a posteriori processing of results. A method for calculating the detection range on several adjacent frames has been developed and it is shown that in this case a longer range is achieved compared to the case of detection on a single frame. Practical significance. The results of the work can be used in small-sized onboard pulse radars of low-altitude carriers in order to increase the time of early warning of the presence of other aircraft on the flight path. This task seems to be especially relevant when flying radar carriers in hard-to-reach, developed territories.
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Dissertations / Theses on the topic "Radar theory"

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Saddington, P. "Adaptive resonance theory : theory and application to synthetic aperture radar." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/843249/.

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Artificial Neural Networks are massively parallel systems that are constructed from many simple processing elements called neurons. The neurons are connected via weights. This structure is inspired by the current understanding of how biological networks function. Since the 1980s, research into this field has exploded into the hive of activity that currently surrounds neural networks and intelligent systems. The work in this thesis is concerned with one particular artificial neural network: Adaptive Resonance Theory (ART). It is an unsupervised neural network that attempts to solve the stability-plasticity dilemma. The model is, however, limited by a few serious problems that restrict its use in real life situations. The network's ability to cluster consistently with uncorrupt inputs when the input is subject to even modest amounts of noise is severely handicapped. The work detailed herein attempts to improve on ART's behaviour towards noisy inputs. Novel equations are developed and described that improve on the network's performance when the system is subject to noisy inputs. One of the novel equations affecting vigilance makes a significant improvement over the originators' equations and can cope with 16% target noise before results fall to the same values as the standard equation. The novel work is tested using a real-life (not simulated) data set from the MSTAR database. Synthetic Aperture Radar targets are clustered and then subject to noise before being represented to the network. These data simulate a typical environment where a clustering or classifying module would be needed for object recognition. Such a module could then be used in an Automatic Target Recognition (ATR) system. Once the problem is mitigated, Adaptive Resonance Theory neural networks could play important roles in ATR systems due to its lack of computational complexity and low memory requirements when compared with other clustering techniques. Keywords: Adaptive Resonance Theory, clustering consistency, neural network, automatic target recognition, noisy inputs.
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Enders, Robert H. "Laser radar tracking theory : track-while-image operation." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14424.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
Vita.
Includes bibliographical references.
Supported by U.S. Army Research Office. DAAL03-87-K-0117
by Robert Hay Enders.
Ph.D.
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Kenny, Owen Patrick. "Theory of radar imaging using time-frequency distribution." Thesis, Queensland University of Technology, 1992. https://eprints.qut.edu.au/36211/6/36211_Digitised%20Thesis.pdf.

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The concept of radar was developed for the estimation of the distance (range) and velocity of a target from a receiver. The distance measurement is obtained by measuring the time taken for the transmitted signal to propagate to the target and return to the receiver. The target's velocity is determined by measuring the Doppler induced frequency shift of the returned signal caused by the rate of change of the time- delay from the target. As researchers further developed conventional radar systems it become apparent that additional information was contained in the backscattered signal and that this information could in fact be used to describe the shape of the target itself. It is due to the fact that a target can be considered to be a collection of individual point scatterers, each of which has its own velocity and time- delay. DelayDoppler parameter estimation of each of these point scatterers thus corresponds to a mapping of the target's range and cross range, thus producing an image of the target. Much research has been done in this area since the early radar imaging work of the 1960s. At present there are two main categories into which radar imaging falls. The first of these is related to the case where the backscattered signal is considered to be deterministic. The second is related to the case where the backscattered signal is of a stochastic nature. In both cases the information which describes the target's scattering function is extracted by the use of the ambiguity function, a function which correlates the backscattered signal in time and frequency with the transmitted signal. In practical situations, it is often necessary to have the transmitter and the receiver of the radar system sited at different locations. The problem in these situations is 'that a reference signal must then be present in order to calculate the ambiguity function. This causes an additional problem in that detailed phase information about the transmitted signal is then required at the receiver. It is this latter problem which has led to the investigation of radar imaging using time- frequency distributions. As will be shown in this thesis, the phase information about the transmitted signal can be extracted from the backscattered signal using time- frequency distributions. The principle aim of this thesis was in the development, and subsequent discussion into the theory of radar imaging, using time- frequency distributions. Consideration is first given to the case where the target is diffuse, ie. where the backscattered signal has temporal stationarity and a spatially white power spectral density. The complementary situation is also investigated, ie. where the target is no longer diffuse, but some degree of correlation exists between the time- frequency points. Computer simulations are presented to demonstrate the concepts and theories developed in the thesis. For the proposed radar system to be practically realisable, both the time- frequency distributions and the associated algorithms developed must be able to be implemented in a timely manner. For this reason an optical architecture is proposed. This architecture is specifically designed to obtain the required time and frequency resolution when using laser radar imaging. The complex light amplitude distributions produced by this architecture have been computer simulated using an optical compiler.
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Park, C. K. "Two dimensional interpolation for radar raster scan display." Thesis, University of Salford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357191.

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Yoho, Peter K. "Satellite scatterometers : calibration using a ground station and statistical measurement theory /." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd306.pdf.

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Kasebzadeh, Pedram. "Clutter Detection in Radar Applications." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171547.

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Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. So far, the main focus of these methods is on detecting an object based on its reflectiveness. In this thesis, the limitation of conventional methods are addressed, and alternative approaches are proposed. The main objective is to model/identify the noise with statistical and machine learning approaches as an alternative to conventional methods that focus on the object. The second objective is to improve the time efficiency of these methods. The data for this thesis contains measurements collected from radars at ABB AB, Sweden. These measurements reflect the received signal strength. These radars are meant to be used in safety applications, such as in industrial environments. Thus, the trade-off between accuracy and complexity of the algorithms is crucial. One way to ensure there is nothing but noise in the surveillance field of the radar is to model the noise only. A new input can then be compared to this model and be classified as noise or not noise (object). One-class classifiers can be employed to approach this problem as they only need noise for training; hence they have been one of the initial proposals in this thesis. Alternatively, binary classifiers are investigated to classify noise and object given a new input data. Moreover, a mathematical model for noise is computed using the Fourier series expansion. While the derived model holds useful information in itself, it can be used, e.g., for hypothesis testing purposes. Furthermore, to make the classification more time-efficient, dimension reduction methods are considered. Feature extraction has been performed for this purpose with the help of the derived noise model. In order to evaluate the performance of the considered methods, three different datasets have been formed. In the first dataset,
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Lindsay, K. W. "Secondary radar, collision avoidance and ship-to-ship communication." Thesis, Liverpool John Moores University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332121.

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Bachmann, Darren John. "A game theoretic analysis of adaptive radar jamming /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00002983.

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Smyth, Timothy James. "Precipitation measurements in convective storms using multiparameter radar." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363714.

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Simms, Melissa Jean. "A Novel Approach to Target Scene Detection and Identification: Theory & Experiments." Miami University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=miami1470327337.

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Books on the topic "Radar theory"

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Yong, Li Ke, and Himed Braham, eds. Space based radar: Theory & applications. New York: McGraw-Hill, 2008.

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Pillai, S. Unnikrishna. Space based radar: Theory & applications. New York: McGraw-Hill, 2008.

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service), ScienceDirect (Online, ed. Ground penetrating radar: Theory and applications. Amsterdam: Elsevier Science, 2009.

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Cook, Charles E. Radar signals: An introduction to theory and application. Boston: Artech House, 1993.

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Laboratory, Wave Propagation, ed. Theory and application of a Radio-Acoustic Sounding System (RASS). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1993.

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Nguyen, Cam. Time-domain ultra-wideband radar, sensor and components: Theory, analysis and design. New York, N.Y: Springer-Verlag, 2014.

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Vinoy, K. J. Radar absorbing materials: From theory to design and characterization. Boston: Kluwer Academic Publishers, 1996.

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Larsen, Reif. I am Radar. Toronto, Ontario, Canada: Hamish Hamilton, 2015.

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Cavallaro, Andrea. Video tracking: Theory and practice. Chichester, West Sussex, UK: Wiley, 2010.

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Bar-Shalom, Yaakov. Estimation and tracking: Principles, techniques, and software. Boston: Artech House, 1993.

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Book chapters on the topic "Radar theory"

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Barkeshli, Kasra, and Sina Khorasani. "Radar." In Advanced Electromagnetics and Scattering Theory, 213–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11547-4_5.

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Lanzagorta, Marco. "Classical Radar Theory." In Quantum Radar, 61–88. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02515-0_4.

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Weber, Charles L. "Radar Detection Theory." In Springer Texts in Electrical Engineering, 45–51. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4774-6_6.

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Yang, Ruliang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, and Xueyan Kang. "Radar Resolution Theory." In High-Resolution Microwave Imaging, 65–81. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7138-6_3.

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Blahut, Richard E. "Theory of Remote Surveillance Algorithms." In Radar and Sonar, 1–65. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4684-7100-7_1.

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Zhang, Xixiang, Kaiqi Xiao, and Jie Gu. "The Development of Radar and Radar Countermeasure." In Theory to Countermeasures Against New Radars, 1–63. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6715-2_1.

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Mandal, Dipankar, Avik Bhattacharya, and Yalamanchili Subrahmanyeswara Rao. "Basic Theory of Radar Polarimetry." In Radar Remote Sensing for Crop Biophysical Parameter Estimation, 7–35. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4424-5_2.

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Louback da Silva Lubanco, Daniel, Thomas Schlechter, Markus Pichler-Scheder, and Christian Kastl. "Survey on Radar Odometry." In Computer Aided Systems Theory – EUROCAST 2022, 619–25. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-25312-6_73.

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Zhang, Xixiang, Kaiqi Xiao, and Jie Gu. "Countermeasures Against Synthetic Aperture Radar." In Theory to Countermeasures Against New Radars, 65–121. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6715-2_2.

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Zhang, Xixiang, Kaiqi Xiao, and Jie Gu. "Jamming Against Phased Array Radar." In Theory to Countermeasures Against New Radars, 395–452. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6715-2_9.

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Conference papers on the topic "Radar theory"

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Shapiro, Jeffrey H. "Laser Radar System Theory*." In Optical Remote Sensing. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tub3.

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Coherent laser radars represent a true translation to the optical frequency band of conventional microwave radar concepts. Moreover, the emerging technology of compact CO2 laser radars may be capable of resolving targets in any combination of the modalities of space, angle, range, and velocity. As a result, the development of laser radar system theory as an analytic tool for the design and performance evaluation of such systems must function on a variety of levels. In this paper, three of these levels will be reviewed.
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Mattiesen, D. J. "Bow tie search theory and design." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971782.

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Germond, A. L. "Foundations of bistatic radar polarimetry theory." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971794.

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Malas, John A., and Krishna M. Pasala. "Radar signature analysis using information theory." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720978.

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Guerci, J. R., M. C. Wicks, J. S. Bergin, P. M. Techau, and S. U. Pillai. "Theory and application of optimum and adaptive MIMO radar." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4721122.

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Enders, Robert H., and Jeffrey H. Shapiro. "Laser Radar Tracking Theory." In O-E/Fiber LASE '88, edited by Richard J. Becherer. SPIE, 1989. http://dx.doi.org/10.1117/12.960234.

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Sakkila, L., C. Tatkeu, A. Rivenq, J. Zaidouni, and M. Bocquet. "UWB radar detection theory." In 2020 10th International Symposium on Signal, Image, Video and Communications (ISIVC). IEEE, 2021. http://dx.doi.org/10.1109/isivc49222.2021.9487541.

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Tan, Donglin, and Junfeng Wang. "Cognitive Waveform Designing Based on Cognitive Radar Theory." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10027903.

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Guo Rui, Zang Bo, Zhang Shuangxi, and Xing Mengdao. "PolSAR image classification based on deorientation theory." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159815.

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Dolinger, Geoffrey, Alexander Stringer, Timothy Sharp, Joseph Karch, Justin G. Metcalf, and Adam Bowersox. "Collaborative Game Theory and Reinforcement Learning Improvements for Radar Tracking." In 2023 IEEE International Radar Conference (RADAR). IEEE, 2023. http://dx.doi.org/10.1109/radar54928.2023.10371164.

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Reports on the topic "Radar theory"

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Moran, William. Coding Theory Information Theory and Radar. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada456510.

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Calderbank, Arthur R. Coding Theory Information Theory and Radar. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada434253.

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Shapiro, Jeffrey H. Coherent Laser Radar System Theory. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada188759.

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Shapiro, Jeffrey H. Multipixel Multidimensional Laser Radar System Theory. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada246111.

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Muller, L., G. Yang, and V. Comalino. Integrability in Constructive K-Theory mathematical model for operation algorithms of an airship anti-stealth radar. Web of Open Science, February 2020. http://dx.doi.org/10.37686/ser.v1i1.2.

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Liao, DaHan. Generalized Wideband Harmonic Imaging of Nonlinearly Loaded Scatterers: Theory, Analysis, and Application for Forward-Looking Radar Target Detection. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada610622.

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Werle, D. Radar remote sensing for application in forestry: a literature review for investigators and potential users of SAR data in Canada. Natural Resources Canada/CMSS/Information Management, 1989. http://dx.doi.org/10.4095/329188.

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Information provided in this document allows potential users of synthetic aperture radar (SAR) imagery as well as investigators participating in the Canadian Radar Data Development Program (RDDP) to obtain an overview of achievements, limitations and future potential of radar remote sensing for application in forestry, as portrayed in the published literature. Investigations concerned with radar remote sensing and its potential for application in forestry are reviewed. The main focus of these studies was the determination of microwave backscatter characteristics of forestry targets using different radar parameters, such as frequency, polarizations and incidence angle. Examples of selected targets include the following: coniferous and deciduous tree species, stands of different structure, age, tree height, clearcuts, or forestry environments in general as they change with the seasons. More than 75 studies based on airborne imaging radar, spaceborne radar as well as scatterometer data have been considered. Previous reviews which summarize information available in western Europe and North America are briefly introduced. Then, recent investigations covering the time period from the early 1980's onward are portrayed and discussed. The main results are summarized in a set of conclusions, followed by list of selected references and a list of Canadian institutions and organizations currently involved in radar remote sensing R&D for application in forestry.
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Cruz, Marta, Ariel Arrieta, Francisco Coronel, Gonzalo Costa, and Ignacio Peña. Tecnolatinas: Latin America Riding the Technology Tsunami. Inter-American Development Bank, May 2017. http://dx.doi.org/10.18235/0006051.

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This work seeks to measure the impact of technology companies in Latin America have on the regional economy, as well as the global reach of their innovation. After a thorough process of survey and detailed analysis, we could identify and map on the Radar we created as a result, 123 Tecnolatinas that are already worth over US$25M and that have a collective worth of over US$37,7B. The Radar is the result of an extensive research over the past years.
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Al-Qadi, Imad, Qingqing Cao, Lama Abufares, Siqi Wang, Uthman Mohamed Ali, and Greg Renshaw. Moisture Content and In-place Density of Cold-Recycling Treatments. Illinois Center for Transportation, May 2022. http://dx.doi.org/10.36501/0197-9191/22-007.

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Cold-recycling treatments are gaining popularity in the United States because of their economic and environmental benefits. Curing is the most critical phase for these treatments. Curing is the process where emulsion breaks and water evaporates, leaving residual binder in the treated material. In this process, the cold-recycled mix gains strength. Sufficient strength is required before opening the cold-treated layer to traffic or placing an overlay. Otherwise, premature failure, related to insufficient strength and trapped moisture, would be expected. However, some challenges arise from the lack of relevant information and specifications to monitor treatment curing. This report presents the outcomes of a research project funded by the Illinois Department for Transportation to investigate the feasibility of using the nondestructive ground-penetrating radar (GPR) for density and moisture content estimation of cold-recycled treatments. Monitoring moisture content is an indicator of curing level; treated layers must meet a threshold of maximum allowable moisture content (2% in Illinois) to be considered sufficiently cured. The methodology followed in this report included GPR numerical simulations and GPR indoor and field tests for data sources. The data were used to correlate moisture content to dielectric properties calculated from GPR measurements. Two models were developed for moisture content estimation: the first is based on numerical simulations and the second is based on electromagnetic mixing theory and called the Al-Qadi-Cao-Abufares (ACA) model. The simulation model had an average error of 0.33% for moisture prediction for five different field projects. The ACA model had an average error of 2% for density prediction and an average root-mean-square error of less than 0.5% for moisture content prediction for both indoor and field tests. The ACA model is presented as part of a developed user-friendly tool that could be used in the future to continuously monitor curing of cold-recycled treatments.
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Kaiser, Gerald. Pulse-Beam Wavelets and Their Sources: Applications to Radar, Imaging and Communications. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada546664.

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