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Journal articles on the topic 'Multistatic Radar Systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhong, Wei, Xianghui Xue, Wen Yi, Iain M. Reid, Tingdi Chen, and Xiankang Dou. "Error analyses of a multistatic meteor radar system to obtain a three-dimensional spatial-resolution distribution." Atmospheric Measurement Techniques 14, no. 5 (May 31, 2021): 3973–88. http://dx.doi.org/10.5194/amt-14-3973-2021.

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Abstract. In recent years, the concept of multistatic meteor radar systems has attracted the attention of the atmospheric radar community, focusing on the mesosphere and lower thermosphere (MLT) region. Recently, there have been some notable experiments using such multistatic meteor radar systems. Good spatial resolution is vital for meteor radars because nearly all parameter inversion processes rely on the accurate location of the meteor trail specular point. It is timely then for a careful discussion focused on the error distribution of multistatic meteor radar systems. In this study, we discuss the measurement errors that affect the spatial resolution and obtain the spatial-resolution distribution in three-dimensional space for the first time. The spatial-resolution distribution can both help design a multistatic meteor radar system and improve the performance of existing radar systems. Moreover, the spatial-resolution distribution allows the accuracy of retrieved parameters such as the wind field to be determined.

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2

Ben Kilani, Moez, Ghyslain Gagnon, and Francois Gagnon. "Multistatic Radar Placement Optimization for Cooperative Radar-Communication Systems." IEEE Communications Letters 22, no. 8 (August 2018): 1576–79. http://dx.doi.org/10.1109/lcomm.2018.2837913.

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3

Alvarez, Yuri, Yolanda Rodriguez-Vaqueiro, Borja Gonzalez-Valdes, Spiros Mantzavinos, Carey M. Rappaport, Fernando Las-Heras, and Jose Angel Martinez-Lorenzo. "Fourier-Based Imaging for Multistatic Radar Systems." IEEE Transactions on Microwave Theory and Techniques 62, no. 8 (August 2014): 1798–810. http://dx.doi.org/10.1109/tmtt.2014.2332307.

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4

Wen, Jyh-Horng, Jheng-Sian Li, Cheng-Ying Yang, Chun-Hung Chen, Hsing-Chung Chen, and Chuan-Hsien Mao. "Localization scheme based on multistatic radar systems." Journal of Ambient Intelligence and Humanized Computing 7, no. 2 (February 17, 2016): 163–69. http://dx.doi.org/10.1007/s12652-016-0347-6.

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5

Farina, A. "Fundamentals of multisite radar systems: multistatic radars and multiradar systems [Book Review]." IEEE Aerospace and Electronic Systems Magazine 16, no. 4 (April 2001): 44. http://dx.doi.org/10.1109/maes.2001.918029.

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6

Svetlichniy, Y. A., and P. A. Degtyarev. "Syncronization and Data Transmission in Multistatic Radar Systems." Proceedings of Tomsk State University of Control Systems and Radioelectronics 22, no. 3 (2019): 7–12. http://dx.doi.org/10.21293/1818-0442-2019-22-3-7-12.

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7

Stinco, Pietro, Maria S. Greco, Fulvio Gini, and Mario La Manna. "Non‐cooperative target recognition in multistatic radar systems." IET Radar, Sonar & Navigation 8, no. 4 (April 2014): 396–405. http://dx.doi.org/10.1049/iet-rsn.2013.0063.

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8

Farina, A. "Tracking function in bistatic and multistatic radar systems." IEE Proceedings F Communications, Radar and Signal Processing 133, no. 7 (1986): 630. http://dx.doi.org/10.1049/ip-f-1.1986.0100.

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9

Do, Cong-Thanh, and Hoa Nguyen. "Tracking Multiple Targets from Multistatic Doppler Radar with Unknown Probability of Detection." Sensors 19, no. 7 (April 8, 2019): 1672. http://dx.doi.org/10.3390/s19071672.

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The measurements from multistatic radar systems are typically subjected to complicated data association, noise corruption, missed detection, and false alarms. Moreover, most of the current multistatic Doppler radar-based approaches in multitarget tracking are based on the assumption of known detection probability. This assumption can lead to biased or even complete corruption of estimation results. This paper proposes a method for tracking multiple targets from multistatic Doppler radar with unknown detection probability. A closed form labeled multitarget Bayes filter was used to track unknown and time-varying targets with unknown probability of detection in the presence of clutter, misdetection, and association uncertainty. The efficiency of the proposed algorithm was illustrated via numerical simulation examples.

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10

Amanipour, Vahideh, and Ali Olfat. "CFAR detection for multistatic radar." Signal Processing 91, no. 1 (January 2011): 28–37. http://dx.doi.org/10.1016/j.sigpro.2010.06.003.

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11

Shao, Yu’e, Hui Ma, Shenghua Zhou, Xue Wang, Michail Antoniou, and Hongwei Liu. "Target Localization Based on Bistatic T/R Pair Selection in GNSS-Based Multistatic Radar System." Remote Sensing 13, no. 4 (February 15, 2021): 707. http://dx.doi.org/10.3390/rs13040707.

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To cope with the increasingly complex electromagnetic environment, multistatic radar systems, especially the passive multistatic radar, are becoming a trend of future radar development due to their advantages in anti-electronic jam, anti-destruction properties, and no electromagnetic pollution. However, one problem with this multi-source network is that it brings a huge amount of information and leads to considerable computational load. Aiming at the problem, this paper introduces the idea of selecting external illuminators in the multistatic passive radar system. Its essence is to optimize the configuration of multistatic T/R pairs. Based on this, this paper respectively proposes two multi-source optimization algorithms from the perspective of resolution unit and resolution capability, the Covariance Matrix Fusion Method and Convex Hull Optimization Method, and then uses a Global Navigation Satellite System (GNSS) as an external illuminator to verify the algorithms. The experimental results show that the two optimization methods significantly improve the accuracy of multistatic positioning, and obtain a more reasonable use of system resources. To evaluate the algorithm performance under large number of transmitting/receiving stations, further simulation was conducted, in which a combination of the two algorithms were applied and the combined algorithm has shown its effectiveness in minimize the computational load and retain the target localization precision at the same time.

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12

Jeong, Seongah, Shahrouz Khalili, Osvaldo Simeone, Alexander Haimovich, and Joonhyuk Kang. "Multistatic cloud radar systems: joint sensing and communication design." Transactions on Emerging Telecommunications Technologies 27, no. 5 (February 8, 2016): 716–30. http://dx.doi.org/10.1002/ett.3020.

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13

Brooker, Marc, and Michael Inggs. "A Signal Level Simulator for Multistatic and Netted Radar Systems." IEEE Transactions on Aerospace and Electronic Systems 47, no. 1 (January 2011): 178–86. http://dx.doi.org/10.1109/taes.2011.5705668.

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14

Mal'kovskii, D. G. "Multistatic refraction-error compensation in radar and satellite navigation systems." Radiophysics and Quantum Electronics 36, no. 9 (September 1993): 638–40. http://dx.doi.org/10.1007/bf01038208.

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15

Daun, Martina, Ulrich Nickel, and Wolfgang Koch. "Tracking in multistatic passive radar systems using DAB/DVB-T illumination." Signal Processing 92, no. 6 (June 2012): 1365–86. http://dx.doi.org/10.1016/j.sigpro.2011.09.005.

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16

Zhu, Jiang, Daxiong Ji, Zhiwei Xu, and Bailu Si. "Combined optimisation of waveform and quantisation thresholds for multistatic radar systems." IET Signal Processing 12, no. 5 (July 2018): 559–65. http://dx.doi.org/10.1049/iet-spr.2017.0360.

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17

He, Bin, and Hongtao Su. "Multiple Power Allocation Game Schemes for Spectrum Coexistence Model Between Multistatic MIMO Radar Sensors and MU Communication." Sensors 20, no. 21 (October 31, 2020): 6216. http://dx.doi.org/10.3390/s20216216.

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The normal operations of radar systems and communication systems under the condition of spectrum coexistence are facing a huge challenge. This paper uses game theory to study power allocation problems between multistatic multiple-input multiple-output (MIMO) radars and downlink communication. In the case of spectrum coexistence, radars, base station (BS) and multi-user (MU) have the working state of receiving and transmitting signals, which can cause unnecessary interferences to different systems. Therefore, when they work together, they should try to suppress mutual interferences. Firstly, the signal from BS is considered as interference when radar detects and tracks targets. A supermodular power allocation game (PAG) model is established and the existence and uniqueness of the Nash equilibrium (NE) in this game are proved. In addition, the power allocation problem from BS to MU is also analyzed, and two Stackelberg PAG models are constructed. It is proved that the NE of each game exists and is unique. Simultaneously, two Stackelberg power allocation iterative algorithms converge to the NEs. Finally, numerical results verify the convergence of the proposed PAG algorithms.

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18

Yan, Jun-kun, Feng-zhou Dai, Tong Qin, Hong-wei Liu, and Zheng Bao. "A Power Allocation Approach for 3D Target Tracking in Multistatic Radar Systems." Journal of Electronics & Information Technology 35, no. 4 (February 13, 2014): 901–7. http://dx.doi.org/10.3724/sp.j.1146.2012.00883.

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19

Greco, Maria S., Pietro Stinco, Fulvio Gini, and Alfonso Farina. "Cramer-Rao Bounds and Selection of Bistatic Channels for Multistatic Radar Systems." IEEE Transactions on Aerospace and Electronic Systems 47, no. 4 (2011): 2934–48. http://dx.doi.org/10.1109/taes.2011.6034675.

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20

Zhao, Hong-Yan, Jun Liu, Zi-Jing Zhang, Hongwei Liu, and Shenghua Zhou. "Linear fusion for target detection in passive multistatic radar." Signal Processing 130 (January 2017): 175–82. http://dx.doi.org/10.1016/j.sigpro.2016.06.024.

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21

Zhao, Jiuchao, Anxi Yu, Yongsheng Zhang, Xiaoxiang Zhu, and Zhen Dong. "Spatial Baseline Optimization for Spaceborne Multistatic SAR Tomography Systems." Sensors 19, no. 9 (May 7, 2019): 2106. http://dx.doi.org/10.3390/s19092106.

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Spaceborne multistatic synthetic aperture radar (SAR) tomography (SMS-TomoSAR) systems take full advantage of the flexible configuration of multistatic SAR in the space, time, phase, and frequency dimensions, and simultaneously achieve high-precision height resolution and low-deformation measurement of three-dimensional ground scenes. SMS-TomoSAR currently poses a series of key issues to solve, such as baseline optimization, spatial transmission error estimation and compensation, and the choice of imaging algorithm, which directly affects the performance of height-dimensional imaging and surface deformation measurement. This paper explores the impact of baseline distribution on height-dimensional imaging performance for the baseline optimization issue, and proposes a feasible baseline optimization method. Firstly, the multi-base multi-pass baselines of an SMS-TomoSAR system are considered equivalent to a group of multi-pass baselines from monostatic SAR. Secondly, we establish the equivalent baselines as a symmetric-geometric model to characterize the non-uniform characteristic of baseline distribution. Through experimental simulation and model analysis, an approximately uniform baseline distribution is shown to have better SMS-TomoSAR imaging performance in the height direction. Further, a baseline design method under uniform-perturbation sampling with Gaussian distribution error is proposed. Finally, the imaging performance of different levels of perturbation is compared, and the maximum baseline perturbation allowed by the system is given.

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22

Almutiry, M. "UAV Tomographic Synthetic Aperture Radar for Landmine Detection." Engineering, Technology & Applied Science Research 10, no. 4 (August 16, 2020): 5933–39. http://dx.doi.org/10.48084/etasr.3611.

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The development of the Unmanned Aerial Vehicle (UAV) and communication systems contributed to the availability of more applications using UAVs in military and civilians purposes. Anti-personnel landmines deployed by militia groups in conflict zones are a life threat for civilians and need cautious handling while removing. The UAV Tomographic Synthetic Aperture Radar (TSAR) can reconstruct three-dimension images of the investigation domain to prescreen nonmetallic landmines. A nonmetallic landmine cannot be detected using conventional ground penetrating radars when the scattering field is undetected due to the dielectric permittivity. In this paper, imaging the underground for detecting landmine using TSAR is proposed. The TSAR has the capability of prosing the data in discrete mode regardless of the altitude of UAV’s radar. A landmine is always buried less than a feet depth. L-band frequency is used to provide high resolution and to penetrate deep in dry soil. More than one UAVs are used to multistatic scan the investigation space. The geometric diversity of multistatic distribution of the sensors will provide more information about the buried nonmetallic landmines, certain features, and their location. The data collected from the sensors will align with the geolocation data obtained from the UAV’s system for processing. Dynamic flying can be used to predict the electromagnetic response of the scattering field to create a dynamic matching filter using the Green’s function under first-order Born approximation. The occurring air-soil interference has been removed as an unwanted reflection from the ground while keeping the signal coming from underground. Using the Born approximation assumption created an ill-posed linear system solved by the Conjugate Gradient algorithm. Simulation results are presented to validate the method.

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23

Yang, Yang, Hongtao Su, Qinzhen Hu, Shenghua Zhou, and Junsheng Huang. "Spatial resolution cell based centralized target detection in multistatic radar." Signal Processing 152 (November 2018): 238–46. http://dx.doi.org/10.1016/j.sigpro.2018.06.003.

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24

Yan, Jun-kun, Bo Jiu, Hong-wei Liu, and Zheng Bao. "Joint Cluster and Power Allocation Algorithm for Multiple Targets Tracking in Multistatic Radar Systems." Journal of Electronics & Information Technology 35, no. 8 (February 25, 2014): 1875–81. http://dx.doi.org/10.3724/sp.j.1146.2012.01470.

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25

Wang, Xiangtuan, Hang Ruan, Yimin Liu, and Tianyao Huang. "A Random Antenna subset selection jamming method against multistatic radar system." Signal Processing 186 (September 2021): 108126. http://dx.doi.org/10.1016/j.sigpro.2021.108126.

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26

Lee, Hoonyol, and Jihyun Moon. "Indoor Experiments of Bistatic/Multistatic GB-SAR with One-Stationary and One-Moving Antennae." Remote Sensing 13, no. 18 (September 17, 2021): 3733. http://dx.doi.org/10.3390/rs13183733.

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Ground-based synthetic aperture radar (GB-SAR) is a useful tool to simulate advanced SAR systems with its flexibility on RF system and SAR configuration. This paper reports an indoor experiment of bistatic/multistatic GB-SAR operated in Ku-band with two antennae: one antenna was stationary on the ground and the other was moving along a linear rail. Multiple bistatic GB-SAR images were taken with various stationary antenna positions, and then averaged to simulate a multistatic GB-SAR configuration composed of a moving Tx antenna along a rail and multiple stationary Rx antennae with various viewing angles. This configuration simulates the use of a spaceborne/airborne SAR system as a transmitting antenna and multiple ground-based stationary antennae as receiving antennae to obtain omni-directional scattering images. This SAR geometry with one-stationary and one-moving antennae configuration was analyzed and a time-domain SAR focusing algorithm was adjusted to this geometry. Being stationary for one antenna, the Doppler rate was analyzed to be half of the monostatic case, and the azimuth resolution was doubled. Image quality was enhanced by identifying and reducing azimuth ambiguity. By averaging multiple bistatic images from various stationary antenna positions, a multistatic GB-SAR image was achieved to have better image swath and reduced speckle noise.

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27

Li, Xueting, Yi Han, Ziqin Wang, Tianxian Zhang, Yichuan Yang, and Lingjiang Kong. "Fast antenna deployment method for multistatic radar with multiple dynamic surveillance regions." Signal Processing 170 (May 2020): 107419. http://dx.doi.org/10.1016/j.sigpro.2019.107419.

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28

Petsios, Michail N., Emmanouil G. Alivizatos, and Nikolaos K. Uzunoglu. "Solving the association problem for a multistatic range-only radar target tracker." Signal Processing 88, no. 9 (September 2008): 2254–77. http://dx.doi.org/10.1016/j.sigpro.2008.03.011.

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29

Chernyak, Victor. "Potential accuracy of object localization with multilateration systems." International Journal of Microwave and Wireless Technologies 1, no. 3 (May 18, 2009): 215–22. http://dx.doi.org/10.1017/s1759078709000221.

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Multilateration (MLAT) systems and wide area MLAT (WAM) systems are particular cases of multisite (multistatic) radar systems (MSRSs): passive MSRSs (PMSRSs) with known expected signal waveforms. One of the most stringent requirements on an MLAT system is a very high accuracy of target (emitter) localization. In view of this, the potential accuracy of emitter localization (PAEL) based on Cramer–Rao inequality is important. Its dependence on system geometry and time of arrival (TOA) measurement accuracy allows choosing reasonable system geometry and requirements on TOA measurements. PAEL for MLAT and WAM systems with different geometry is considered, including systems proposed for the Marco Polo airport in Venice, Italy. The possibility of velocity determination using PAEL for landing and taking off aircrafts is also discussed. The concept of PAEL permits one to analyze joint measurements of different signal parameters and target coordinates. The effect of additional elevation angle measurements on PAEL in the WAM system for the Marco Polo airport is shown.

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30

Abratkiewicz, Karol, Piotr Krysik, Zbigniew Gajo, and Piotr Samczyński. "Target Doppler Rate Estimation Based on the Complex Phase of STFT in Passive Forward Scattering Radar." Sensors 19, no. 16 (August 20, 2019): 3627. http://dx.doi.org/10.3390/s19163627.

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This article presents a novel approach to the estimation of motion parameters of objects in passive forward scattering radars (PFSR). In such systems, most frequency modulated signals which are used have parameters that depend on the geometry of a radar scene and an object’s motion. Worth noting is that in bistatic (or multistatic) radars forward scattering geometry is present thus in this case only Doppler measurements are available while the range measurement is unambiguous. In this article the modulation factor, also called the Doppler rate, was determined based on the chirp rate (equivalent Doppler rate) estimation concept in the time-frequency (TF) domain. This approach utilizes the idea of the complex phase of the short-time Fourier transform (STFT) and its modification known from the literature. Mathematical dependencies were implemented and verified and the simulation results were described. The accuracy of the considered estimators were also verified using the Cramer-Rao lower bound (CRLB) to which simulated data for the considered estimators was compared. The proposed method was validated using a real-life signal collected from a radar operating in PFSR geometry. The Doppler rate provided by a car crossing the baseline between the receiver and the GSM transmitter was estimated. Finally, the concept of using CR estimation, which in the case of PFSR can be understood as Doppler rate, was confirmed on the basis of both simulated and real-life data.

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31

Tutunnik, V. A., and Y. N. Samoilov. "Using Measurement Redundancy to Improve the Accuracy of Source Coordinates Determined by Multistatic, Mobile Passive Radar Systems." Telecommunications and Radio Engineering 51, no. 8 (1997): 1–3. http://dx.doi.org/10.1615/telecomradeng.v51.i8.10.

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32

Ren, Fangyu, Huotao Gao, and Lijuan Yang. "Distributed Multistatic Sky-Wave Over-The-Horizon Radar Based on the Doppler Frequency for Marine Target Positioning." Electronics 10, no. 12 (June 18, 2021): 1472. http://dx.doi.org/10.3390/electronics10121472.

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Maritime safety issues have aroused great attention, and it has become a difficult problem to use the sky-wave over-the-horizon radar system to locate foreign targets or perform emergency rescue quickly and timely. In this paper, a distributed multi-point sky-wave over-the-horizon radar system is used to locate marine targets. A positioning algorithm based on the Doppler frequency is proposed, namely, the two-step weighted least squares (2WLS) method. This algorithm first converts the WGS-48 geodetic coordinates of the transceiver station to spatial rectangular coordinates; then, introduces intermediate variables to convert the nonlinear optimization problem into a linear problem. In the 2WLS method, four mobile transmitters and four mobile receivers are set up, and the Doppler frequency is calculated by transmitting and receiving signals at regular intervals; it is proven that the 2WLS algorithm has always maintained a better positioning accuracy than the WLS algorithm as the error continues to increase with a certain ionospheric height measurement error and the Doppler frequency measurement error. This paper provides an effective method for the sky-wave over-the-horizon radar to locate maritime targets.

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33

Zhang, Tianxian, Jiadong Liang, Yichuan Yang, Guolong Cui, Lingjiang Kong, and Xiaobo Yang. "Antenna deployment method for multistatic radar under the situation of multiple regions for interference." Signal Processing 143 (February 2018): 292–97. http://dx.doi.org/10.1016/j.sigpro.2017.09.006.

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34

Shi, Chenguang, Fei Wang, Mathini Sellathurai, Jianjiang Zhou, and Sana Salous. "Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System." IEEE Systems Journal 14, no. 1 (March 2020): 983–94. http://dx.doi.org/10.1109/jsyst.2019.2931754.

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35

Shi, Chenguang, Wei Qiu, Fei Wang, Sana Salous, and Jianjiang Zhou. "Power control scheme for spectral coexisting multistatic radar and massive MIMO communication systems under uncertainties: A robust Stackelberg game model." Digital Signal Processing 94 (November 2019): 146–55. http://dx.doi.org/10.1016/j.dsp.2019.05.007.

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36

Kryuchkov, I. V., G. P. Slukin, and V. V. Chapurskii. "The accuracy of coordinate measurements in multistatic radar systems with complex consideration for primary measurement errors due to noise, atmospheric fluctuations, and uncertainty in position topo binding." Journal of Communications Technology and Electronics 61, no. 11 (November 2016): 1245–51. http://dx.doi.org/10.1134/s106422691610017x.

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37

Carreno-Luengo, Hugo, Guido Luzi, and Michele Crosetto. "Impact of the Elevation Angle on CYGNSS GNSS-R Bistatic Reflectivity as a Function of Effective Surface Roughness over Land Surfaces." Remote Sensing 10, no. 11 (November 6, 2018): 1749. http://dx.doi.org/10.3390/rs10111749.

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The Earth’s surface bistatic reflectivity Γ L H C P , C y G N S S is experimentally characterized using the novel Global Navigation Satellite Systems Reflectometry (GNSS-R) L-band passive multistatic radar technique from the Cyclone Global Navigation Satellite Systems (CyGNSS) eight-microsatellite constellation. The focus of this study is to evaluate the influence of the GNSS satellites’ elevation angle θ e on Γ L H C P , C y G N S S , as a function of soil moisture content (SMC) and effective surface roughness parameter h . As the average response, the change of the scattering regime at a global scale and considering also vegetated surfaces appears at θ e ≈ 55°. This empirical observation is understood as a change on the dominant scattering term, from incoherent to coherent. Then, the correlation of Γ L H C P , C y G N S S and SMC is evaluated as a function of θ e over specific sparsely vegetated target areas. The smoother the surface, the higher the angular variability of the Pearson correlation coefficients. Over croplands (e.g., Argentinian Pampas), an improved correlation coefficient is achieved over angular ranges where the coherent scattering regime becomes the dominant one. As such, this function depends on the surface roughness. The maximum correlation coefficients are found at different θ e for increasing mean roughness levels: r P a m p a s ≈ 0.78 at θ e ≈ [60,70]°, r I n d i a ≈ 0.72 at θ e ≈ [50,60]°, and r S u d a n ≈ 0.74 at θ e ≈ [30,40]°. SMC retrieval algorithms based on GNSS-R multi-angular information could benefit from these findings, so as to improve the accuracy using single-polarized signals.

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38

Wang, Wei, Dan Wang, Baoju Zhang, Tao Li, and Shu Jiang. "Through-Wall Multistatus Target Identification in Smart and Autonomous Systems With UWB Radar." IEEE Internet of Things Journal 5, no. 5 (October 2018): 3278–88. http://dx.doi.org/10.1109/jiot.2017.2695644.

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39

Zhang, Xiwen, Jiyan Huang, Yiyuan Wang, and Yineng Zhou. "An Efficient Estimator for Target Localization in a Multistation Redundancy System without Matrix Inversion." Journal of Sensors 2018 (July 16, 2018): 1–12. http://dx.doi.org/10.1155/2018/6362939.

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This paper focuses on target localization problem in a multistation redundancy system which finds broad applications in sonar, radar, and location-based service. Previous solutions can only be applied to the minimum system, such as the TOA method with three sensors and the AOA method with two sensors or need matrix inversion. To solve this problem, we propose a simple closed-form solution for a multistation redundancy localization system by using the estimation variance as the weighting coefficient to compute an average of each group’s localization result. The proposed method, with simple algebraic solution, requires no matrix inversion and can be used for low-cost hardware devices. We derive the method in TOA solution and AOA solution, respectively. The proposed method can also be extended to other locating technologies. Numerical examples are provided to illustrate the performance of the proposed method in root-mean-square error. The positioning accuracy of the proposed method is close to Cramér-Rao low bound both in TOA solution and AOA solution.

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40

Shu, Kan, Jianxin Yi, Xianrong Wan, and Feng Cheng. "A Hybrid Tracking Algorithm for Multistatic Passive Radar." IEEE Systems Journal, 2020, 1–11. http://dx.doi.org/10.1109/jsyst.2020.2994009.

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41

Wachtl, Stefan, Volker Koch, Robert Westphal, and Lorenz-Peter Schmidt. "Multistatic GNSS Receiver Array for Passive Air Surveillance." Frequenz 70, no. 3-4 (January 1, 2016). http://dx.doi.org/10.1515/freq-2015-0135.

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AbstractThe performance of a passive air surveillance sensor based on Global Navigation Satellite Systems (GNSS) is mainly limited by the receiver noise efficiency, the achievable signal processing gain and the radar cross section (RCS) of an airplane. For surveillance applications large detection ranges as well as a high probability of detection are crucial parameters. Due to the very low GNSS signal powers received on the earth’s surface, high radar cross sections are mandatory to achieve detection ranges for airplanes at some kilometers distance. This paper will discuss a multistatic transmitter and receiver arrangement, which is indispensable to get a reasonable detection rate with respect to a hemispheric field of view. The strong performance dependency of such a sensor on the number of transmitters and receivers will be shown by means of some exemplary simulation results.

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42

Zhao, Yue, Lei Zhang, Bo Jiu, Hongwei Liu, and Zhenfang Li. "Three-dimensional reconstruction for space targets with multistatic inverse synthetic aperture radar systems." EURASIP Journal on Advances in Signal Processing 2019, no. 1 (August 28, 2019). http://dx.doi.org/10.1186/s13634-019-0630-8.

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