Target Detection using Polarimetric Distributed MIMO Radar in Heterogeneous Compound-Gaussian Clutter
Authors: 
Zhiwen Liu, Yang Yang, Yan Xiang, Kang Zhao, Shuli Shi, Yougen XuAuthors Info & Claims
Zhiwen Liu, Yang Yang, Yan Xiang, Kang Zhao, Shuli Shi, Yougen XuAuthors Info & ClaimsPages 363 - 368
Abstract
A polarimetric distributed MIMO radar detector in heterogeneous compound Gaussian clutter is proposed. Based on the modified signal model of the polarimetric distributed MIMO radar, the inverse Gamma distribution assumption on the clutter texture and the complex inverse Wishart distribution assumption on the speckle clutter covariance matrix, the secondary data is used to obtain the maximum posteriori estimation of the texture so as to avoid the integral operation in test statistic. The Bayesian knowledge-aided polarimetric generalized likelihood ratio detector is then acquired. Simulation results show that the proposed detector has a better detection performance than the existing detector.
References
[1]
S. Gogineni and A. Nehorai. Polarimetric MIMO radar with distributed antennas for target detection. IEEE Trans. Signal Process., 2010, 58 (3):1689--1697.
[2]
G. L. Cui, L. J. Kong, X. B. Yang, et al. Two-step GLRT design of MIMO radar in compound-Gaussian clutter. 2010 IEEE Radar Conference, Washington, DC, 2010, 343--347.
[3]
G. L. Cui, L. J. Kong, X. B. Yang, et al. Distributed target detection with polarimetric MIMO radar in compound-Gaussian clutter. Digital Signal Process., 2012, 22(3):430--438.
[4]
L. J. Kong, G. L. Cui, X. B. Yang, et al. Rao and Wald tests design of multiple-input multiple-output radar in compound-Gaussian clutter. IET Signal Process., 2011, 5(1):85--96.
[5]
B. L. Wang, G. L. Cui, Wei Y, et al. Polarimetric MIMO radar detection for correlated fluctuating targets. Radar Conference, Cincinnati, OH, 2014, 1: 1299--1232.
[6]
Q. He, N. H. Lehmann, R. S. Blum and A. M. Haimovich. MIMO radar moving target detection in homogeneous clutter. IEEE Trans. Aerosp. Electron. Syst., 2010, 46(3): 1290--1301.
[7]
M. Rangaswamy, D. D. Weiner and A. Ozturk. Non-Gaussian random vector identification using spherically invariant random processes. IEEE Trans. Aerosp. Electron. Syst., 1993, 29(1): 111--124.
[8]
S. Bidon, O. Besson and J. Tourneret. A Bayesian approach to adaptive detection in nonhomogeneous environments. IEEE Trans. Signal Process. 2008, 56(1): 205--217.
[9]
Y. C. Gao, H. B. Li, and B. Himed. Knowledge-aided range-spread target detection for distributed MIMO radar in nonhomogeneous environments. IEEE Trans. Signal Process., 2017, 65(3): 617--627.
[10]
L. J. Kong, N. Li, G. L. Cui, et al. Adaptive Bayesian detection for multiple-input multiple-output radar in compound-Gaussian clutter with random texture. IET Radar, Sonar & Naviga., 2016, 10(4):689--698.
[11]
B. L. Wang, G. L. Cui, Wei Y, et al. Li and L. Kong. Adaptive Bayesian detection using polarimetric MIMO radar in spatially heterogeneous clutter. 2014 IEEE Radar Conference, Cincinnati, OH, 2014, 1: 1218--1222.
[12]
Y. Xiang, Z. W. Liu, Y. L. Huang, et al. Moving target detection with polarimetric distributed MIMO radar in heterogeneous clutter. 2018 fourth IET International Radar Conference, Accepted.
[13]
F. C. Robey, D. R. Fuhrmann, E. J. Kelly and R. Nitzberg. A CFAR adaptive matched filter detector. IEEE Trans. Aerosp. Electron. Syst., 1992, 28(1): 208--216.
[14]
A. D. Maio and M. Lops. Design Principles of MIMO Radar Detectors. IEEE Trans. Aerosp. Electron. Syst., 2007, 43(3): 886--898.
[15]
L. Shen, Z. W. Liu and Y. G. Xu. Polarimetric detection and range estimation for a point-like target in non-Gaussian clutter. IET Radar, Sonar & Naviga., 2018, 12(3): 361--365.
Index Terms
- Target Detection using Polarimetric Distributed MIMO Radar in Heterogeneous Compound-Gaussian Clutter
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Published In
June 2020
383 pages
ISBN:9781450376877
DOI:10.1145/3408127
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- University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 September 2020
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- Refereed limited
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- National Natural Science Foundation of China
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ICDSP 2020
ICDSP 2020: 2020 4th International Conference on Digital Signal Processing
June 19 - 21, 2020
Chengdu, China
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