目标引入干扰条件下的Wald检测器

杨海峰; 谢文冲; 唐瑭; 罗玉文; 刘维建; 王永良

doi:10.11999/JEIT161333

目标引入干扰条件下的Wald检测器

doi: 10.11999/JEIT161333

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: 2016-12-08
- 修回日期: 2017-04-19
- 刊出日期: 2017-09-19

Wald Tester for Signal Detection in the Presence of Target-induced Interference

Funds:

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

摘要

摘要: 多径效应或多输入多输出(MIMO)雷达发射波形不完全正交的情况下会引入干扰，此种干扰通常被称为目标引入干扰。针对存在目标引入干扰的目标检测问题，该文基于Wald准则提出适用于均匀环境和非均匀环境下的自适应检测器，所提出的检测器可有效抑制目标引入的干扰，且具有恒虚警率(CFAR)特性。仿真结果表明，当干扰子空间已知时，该文所提出的检测器可完全抑制干扰，当干扰子空间未知时，所提检测器可有效抑制位于信号子空间的正交补空间内的干扰。
- 自适应检测 /
- 多通道信号检测 /
- 目标引入干扰 /
- Wald检测准则
Abstract: In radar system, the target-induced interference often arises due to multipath effect or non-ideal transmit waveform of Multiple-Input Multiple-Output (MIMO) radar. For the issue of detecting a target with target-induced interference, the detectors are proposed based on the design criterion of Wald test both in the homogeneous environment and partially homogeneous environment. The proposed detectors are proved to be effective for suppressing the target-induced interference and they can ensure the desirable Constant False Alarm Rate (CFAR) property with respect to the unknown parameters of the noise. Simulation results show that the proposed detectors can suppress the interference effectively when the interference subspace is known, and can suppress the interference lying in the orthogonal complement space of the nominal signal subspace when the interference is completely unknown.
- Adaptive detection /
- Multichannel signal detection /
- Target-induced interference /
- Wald test criterion

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参考文献(24)

KELLY E J. An adaptive detection algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 1986, 22(1): 115-127. doi: 10.1109/TAES.1986.310745.

CHEN W S and REED I S. A new CFAR detection test for radar[J]. Digital Signal Processing, 1991, 1(4): 198-214. doi: 10.1016/1051-2004(91)90113-Y.

DE MAIO A. A new derivation of the adaptive matched filter [J]. IEEE Signal Processing Letters, 2004, 11(10): 792-793. doi: 10.1109/LSP.2004.835464.

DE MAIO A. Rao test for adaptive detection in Gaussian interference with unknown covariance matrix[J]. IEEE Transactions on Signal Processing, 2007, 55(7): 3577-3584. doi: 10.1109/TSP.2007.894238.

KRAUT S and SCHARF L L. The CFAR adaptive subspace detector is a scale-invariant GLRT[J]. IEEE Transactions on Signal Processing, 1999, 47(9): 2538-2541. doi: 10.1109/ 78.782198.

RAGHAVAN R S, PULSONE N, and MCLAUGHLIN D J. Performance of the GLRT for adaptive vector subspace detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(4): 1473-1487. doi: 10.1109/7.543869.

LIU J, ZHANG Z J, and YANG Y. Optimal waveform design for generalized likelihood ratio and adaptive matched filter detectors using a diversely polarized antenna[J] Signal Processing, 2012, 92(4): 1126-1131. doi: 10.1016/j.sigpro. 2011.11.006.

KRAUT S, SCHARF L L, and MCWHORTER L T. Adaptive subspace detectors[J]. IEEE Transactions on Signal Processing, 2001, 49(1): 1-16. doi: 10.1109/78.890324.

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.

BANDIERA F, DE MAIO A, GRECO A S, et al. Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference[J]. IEEE Transactions on Signal Processing, 2007, 55(4): 1223-1237. doi: 10.1109/TSP.2006.888065.

LIU W, LIU J, HUANG L, et al. Rao tests for distributed target detection in interference and noise[J]. Signal Processing, 2015, 117(C): 333-342. doi: 10.1016/j.sigpro. 2015.06.012.

CIUONZO D, DE MAIO A, and ORLANDO D. A unifying framework for adaptive radar detection in homogeneous plus structured interferencePart I: On the maximal invariant statistic[J]. IEEE Transactions on Signal Processing, 2016, 64(11): 2894-2906. doi: 10.1109/TSP.2016.2519003.

CIUONZO D, DE MAIO A, and ORLANDO D. A unifying framework for adaptive radar detection in homogeneous plus structured interferencePart II: Detectors design[J]. IEEE Transactions on Signal Processing, 2016, 64(11): 2907-2919. doi: 10.1109/TSP.2016.2519005.

LIU W, WANG Y, LIU J, et al. Design and performance analysis of adaptive detectors for subspace signals in orthogonal interference and gaussian noise[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(5): 2068-2079. doi: 10.1109/TAES.2016.140152.

LIU W, LIU J, WANG L, et al. Adaptive array detection in noise and completely unknown jamming[J]. Digital Signal Processing, 2015, 46: 41-48. doi: 10.1016/j.dsp.2015.07.006.

LIU W, LIU J, HU X, et al. Statistical performance analysis of the adaptive orthogonal rejection detector[J]. IEEE Signal Processing Letters, 2016, 23(6): 873-877. doi: 10.1109/LSP. 2016.2550495.

AKAKAYA M and NEHORAI A. MIMO radar sensitivity analysis for target detection[J]. IEEE Transactions on Signal Processing, 2011, 59(7): 3241-3250. doi: 10.1109/TSP.2011. 2141665.

WANG P, LI H, and HIMED B. Moving target detection for distributed MIMO radar with imperfect waveform separation [C]. IEEE National Radar Conferences, Ottawa, Canada, 2013: 1-5. doi: 10.1109/RADAR.2013.6586004.

AUBRY A, DE Maio A, FOGLIA G, et al. Diffuse multipath exploitation for adaptive radar detection[J]. IEEE Transactions on Signal Processing, 2015, 63(5): 1268-1281. doi: 10.1109/TSP.2014.2388439.

WANG P, FANG J, LI H, et al. Detection with target-induced subspace interference[J]. IEEE Signal Processing Letters, 2012, 19(7): 403-406. doi: 10.1109/LSP. 2012.2197389.

GINI F and FARINA A. Matched subspace cfar detection of hovering helicopters[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(4): 1293-1305. doi: 10.1109/ 7.805446.

LEI S, ZHAO Z, NIE Z, et al. Adaptive polarimetric detection method for target in partially homogeneous background[J]. Signal Processing, 2015, 106: 301-311. doi: 10.1016/j.sigpro.2014.07.019.

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.

TAGUE J A and CALDWELL C I. Expectations of useful complex Wishart forms[J]. Multidimensional Systems and Signal Processing, 1994, 5(3): 263-279. doi: 10.1007/ BF00980709.

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