零训练样本的集中式MIMO雷达斜对称检测器

杨海峰; 蒋国喜; 刘维建; 谢文冲; 王永良

doi:10.11999/JEIT170295

零训练样本的集中式MIMO雷达斜对称检测器

doi: 10.11999/JEIT170295

1.
(空军预警学院武汉 430019) ②(94535部队徐州 221005)

基金项目:

国家自然科学基金青年基金(61501505, 61501506)，湖北省自然科学基金(2015CFB607)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-04-05
- 修回日期: 2017-11-15
- 刊出日期: 2018-02-19

Persymmetric Detectors Without Training Data for Colocated MIMO Radar

1.
(Air Force Early Warning Academy, Wuhan 430019, China)
2.
(The Unit 94535 of PLA, Xuzhou 221005, China)

Funds:

The National Natoural Science Foundation of China (61501505, 61501506), The Hubei Provincial Natural Science Foundation (2015CFB607)

摘要

摘要: 传统集中式多输入多输出(MIMO)雷达自适应检测器虽然不需要训练样本即可实现目标检测，但在波形采样数较少时检测性能下降明显。该文利用集中式MIMO雷达噪声协方差矩阵的斜对称结构，基于广义似然比(Generalized Likelihood Ratio Test, GLRT)准则和Wald准则，提出了相应的斜对称检测器，并给出了统计分布特性及检测概率和虚警概率的解析表达式。仿真结果表明所提检测器在波形采样数较少时仍可获得较好的检测性能，同时证明了理论分析的正确性。
- 多输入多输出雷达 /
- 统计性能 /
- 斜对称结构
Abstract: The traditional detectors of colocated MIMO radar can detect a target without training data. However, the detection performance is poor with low number of waveform sampling. In this paper, two detectors, based on the Generalized Likelihood Ratio Test (GLRT) and Wald test criteria, are given by utilizing the persymmetric structure of the noise covariance matrix of colocated MIMO radar. In addition, the statistical distributions of the proposed detectors are analyzed and the analytical expressions of the probabilities of false alarm and detection are given. Simulation results show that the proposed detectors achieve good performance when the number of waveform sampling is low, and verify the theoretical results.
- MIMO radar /
- Statistical performance /
- Persymmetric structure

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参考文献(30)

LI J and STOICA P. MIMO Radar Signal Processing [M]. New Jersey: John Wiley Sons, 2008: 65-122. doi: 10.1002 /9780470391488.

LI J and STOICA P. MIMO radar with colocated antennas [J]. IEEE Signal Processing Magazine, 2007, 24(5): 106-114. doi: 10.1109/MSP.2007.904812.

HAIMOVICH A M, BLUM R S, and CIMINI L J. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116-129. doi: 10.1109/MSP. 2008.4408448.

刘明, 水鹏朗. 海杂波背景下的组合自适应GLRT-LTD[J]. 电子与信息学报, 2015, 37(12): 2984-2990. doi: 10.11999/ JEIT150588.

LIU M and SHUI P. Combined adaptive GLRT-LTD against sea clutter[J]. Journal of Electronics Information Technology, 2015, 37(12): 2984-2990. doi: 10.11999/ JEIT150588.

刘维建, 简涛, 杨海峰, 等. 适用于子空间信号失配的参数可调多通道自适应检测器[J]. 电子与信息学报, 2016, 38(12): 3011-3017. doi: 10.11999/JEIT161072.

LIU W, JIAN T, YANG H, et al. Tunable multichannel adaptive detector for mismatched subspace signals[J]. Journal of Electronics Information Technology, 2016, 38(12): 3011-3017. doi: 10.11999/JEIT161072.

许述文, 薛健, 水鹏朗. 基于知识的海杂波背景下距离扩展目标检测[J]. 电子与信息学报. 2016, 38(12): 3004-3010. doi: 10.11999/JEIT160905.

XU S, XUE J, and SHUI P. Adaptive detection of range- spread targets based on knowledge in sea clutter background [J]. Journal of Electronics Information Technology, 2016, 38(12): 3004-3010. doi: 10.11999/JEIT160905.

WANG P, LI H, and HIMED B. Moving target detection using distributed MIMO radar in clutter with nonhomogeneous power[J]. IEEE Transactions on Signal Processing, 2011, 59(10): 4809-4820. doi: 10.1109/TSP.2011. 2160861.

LIU J, ZHANG Z J, CAO Y, et al. A closed-form expression for false alarm rate of adaptive MIMO-GLRT detector with distributed MIMO radar[J]. Signal Processing, 2013, 93(9): 2771-2776. doi: 10.1016/j.sigpro.2013.03.001.

LIU J, LI H, and HIMED B. Persymmetric adaptive target detection with distributed MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(1): 372-382. doi: 10.1109/TAES.2014.130652.

BEKKERMAN I and TABRIKIAN J. Target detection and localization using MIMO radars and sonars[J]. IEEE Transactions on Signal Processing, 2006, 54(10): 3873-3883. doi: 10.1109/TSP.2006.879267.

CUI G, KONG L, and YANG X. Performance analysis of colocated MIMO radars with randomly distributed arrays in compound-Gaussian clutter[J]. Circuits, Systems, and Signal Processing, 2012, 31(4): 1407-1422. doi: 10.1007/s00034-011- 9381-y.

HATAM M, SHEIKHI A, and MASNADI M A. Target detection in pulse-train MIMO radars applying ICA algorithms[J]. Progress in Electromagnetics Research, 2012, 122: 413-435. doi: 10.2528/PIER11101206.

LI J, XU L, STOICA P, et al. Range compression and waveform optimization for MIMO radar: A cramer-Rao bound based study[J]. IEEE Transactions on Signal Processing, 2008, 56(1): 218-232. doi: 10.1109/TSP.2007. 901653.

XU L, LI J, and STOICA P. Target detection and parameter estimation for MIMO radar systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 927-939. doi: 10.1109/TAES.2008.4655353.

LIU W, WANG Y, LIU J, et al. Adaptive detection without training data in colocated MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(3): 2469-2479. doi: 10.1109/TAES.2015.130754.

HAO C, GAZOR S, FOGLIA G, et al. Persymmetric adaptive detection and range estimation of a small target[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(4): 2590-2604. doi: 10.1109/TAES.2015.140517.

GAO Y, LIAO G, ZHU S, et al. A Persymmetric GLRT for adaptive detection in compound-Gaussian clutter with random texture[J]. IEEE Signal Processing Letters, 2013, 20(6): 615-618. doi: 10.1109/LSP.2013.2259232.

WANG P, SAHINOGLU Z, PUN M O, et al. Persymmetric parametric adaptive matched filter for multichannel adaptive signal detection[J]. IEEE Transactions on Signal Processing, 2012, 60(6): 3322-3328. doi: 10.1109/TSP.2012.2190411.

CAI L and WANG H. A persymmetric multiband GLR algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(3): 806-816. doi: 10.1109/7.256301.

HAO C, ORLANDO D, MA X, et al. Persymmetric detectors with enhanced rejection capabilities[J]. IET Radar, Sonar and Navigation, 2014, 8(5): 557-563. doi: 10.1049/iet-rsn. 2013.0115.

GAO Y, LIAO G, ZHU S, et al. Persymmetric adaptive detectors in homogeneous and partially homogeneous environments[J]. IEEE Transactions on Signal Processing, 2014, 62(2): 331-342. doi: 10.1109/TSP.2013.2288087.

LIU W, WANG Y, and XIE W. Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications[J]. Signal Processing, 2014, 94: 1-5. doi: 10.1016/ j.sigpro.2013.06.032.

LIU W, XIE W, LIU J, et al. Adaptive double subspace signal detection in Gaussian backgroundpart I: Homogeneous environments[J]. IEEE Transactions on Signal Processing, 2014, 62(9): 2345-2357. doi: 10.1109/TSP.2014.2309556.

RICHMOND C D. Performance of the adaptive sidelobe blanker detection algorithm in homogeneous environments[J]. IEEE Transactions on Signal Processing, 2000, 48(5): 1235-1247. doi: 10.1109/78.839972.

理查兹. 雷达信号处理基础[M]. 北京: 电子工业出版社, 2008: 59-62.

RICHARDS M A. Fundamentals of Radar Signal Processing [M]. Beijing: Publishing House of Electronics Industry, 2008: 59-62.

RAGHAVAN R S, QIU H F, and MCLAUGHLIN D J. CFAR detection in clutter with unknown correlation properties[J]. IEEE Transactions on Aerospace and Electronic Systems, 1995, 31(2): 647-657. doi: 10.1109/7.381913.

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