Rao and Wald Tests for Target Detection in Coherent Interference

被引:18
作者
Sun, Mengru [1 ,2 ]
Liu, Weijian [3 ]
Liu, Jun [4 ]
Hao, Chengpeng [1 ]
机构
[1] Chinese Acad Sci, Inst Acoust, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Wuhan Elect Informat Inst, Wuhan 430019, Peoples R China
[4] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Peoples R China
基金
中国国家自然科学基金;
关键词
Interference; Detectors; Covariance matrices; Training data; Radar; Radar detection; Adaptation models; Adaptive detection; coherent interference; multichannel signal detection; Rao test; Wald test; ADAPTIVE RADAR DETECTION; SUBSPACE SIGNAL-DETECTION; DISTRIBUTED TARGETS; GAUSSIAN INTERFERENCE; PERFORMANCE ANALYSIS; UNIFYING FRAMEWORK; UNKNOWN COVARIANCE; HOMOGENEOUS NOISE; PART I; GLRT;
D O I
10.1109/TAES.2021.3122833
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Interference can degrade the detection performance of a detector. Previously, several detectors were proposed according to the criteria of Rao and Wald tests in the presence of coherent interference. However, these detectors were derived by using incorrect Fisher information matrices (FIMs). This article considers the problems of subspace target detection in the presence of three cases of coherent interference. We redefine the complex parameter sets and correct the FIMs as well as the corresponding Rao and Wald tests. It is shown that some corrected detectors are new, some coincide with existing ones, and some are the subspace generalization of an existing one. There is no reasonable Rao or Wald test for a kind of coherent interference. Moreover, we derive the statistical performance of one corrected detector, including the analytical expressions for probability of detection and probability of false alarm. We also show the statistical distributions of another corrected detector which is the subspace generalization of an existing one. Numerical examples are provided to evaluate the performance of the corrected detectors. The results show that two Rao test-based detectors have good selectivity with signal mismatch, and a Wald test-based detector is robust for mismatch signals.
引用
收藏
页码:1906 / 1921
页数:16
相关论文
共 48 条
[11]   On Multiple Covariance Equality Testing with Application to SAR Change Detection [J].
Ciuonzo, Domenico ;
Carotenuto, Vincenzo ;
De Maio, Antonio .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (19) :5078-5091
[12]   On the Statistical Invariance for Adaptive Radar Detection in Partially Homogeneous Disturbance Plus Structured Interference [J].
Ciuonzo, Domenico ;
De Maio, Antonio ;
Orlando, Danilo .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (05) :1222-1234
[13]   A Unifying Framework for Adaptive Radar Detection in Homogeneous Plus Structured Interference-Part II: Detectors Design [J].
Ciuonzo, Domenico ;
De Maio, Antonio ;
Orlando, Danilo .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (11) :2907-2919
[14]   A new derivation of the adaptive matched filter [J].
De Maio, A .
IEEE SIGNAL PROCESSING LETTERS, 2004, 11 (10) :792-793
[16]   Adaptive Radar Detectors Based on the Observed FIM [J].
De Maio, Antonio ;
Han, Sudan ;
Orlando, Danilo .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (14) :3838-3847
[17]   Adaptive Detection in Gaussian Interference With Unknown Covariance After Reduction by Invariance [J].
De Maio, Antonio ;
Conte, Ernesto .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (06) :2925-2934
[19]   Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals [J].
Han, Sudan ;
Yan, Linjie ;
Zhang, Yuxuan ;
Addabbo, Pia ;
Hao, Chengpeng ;
Orlando, Danilo .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 (69) :560-572
[20]   A Sparse Learning Approach to the Design of Radar Tunable Architectures With Enhanced Selectivity Properties [J].
Han, Sudan ;
Pallotta, Luca ;
Huang, Xiaotao ;
Giunta, Gaetano ;
Orlando, Danilo .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2020, 56 (05) :3840-3853