Rao tests for distributed target detection in interference and noise

被引：74

作者：

Liu, Weijian ^{[1
,2
]}

Liu, Jun ^{[3
]}

Huang, Lei ^{[4
]}

Zou, Dujian ^{[5
]}

Wang, Yongliang ^{[2
]}

机构：

[1] Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China

[2] Wuhan Radar Acad, Wuhan 430019, Peoples R China

[3] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China

[4] Shenzhen Univ, Coll Informat Engn, Shenzhen 518055, Peoples R China

[5] Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518060, Peoples R China

来源：

SIGNAL PROCESSING | 2015年 / 117卷

关键词：

Adaptive detection; Constant false alarm rate; Distributed target; Interference; Rao test; Subspace model; PARTIALLY-HOMOGENEOUS ENVIRONMENT; SUBSPACE SIGNAL-DETECTION; ADAPTIVE DETECTION; WALD TESTS; DIRECTION DETECTORS; GAUSSIAN-NOISE; RADAR DETECTION; GLRT; RANGE; CLUTTER;

D O I：

10.1016/j.sigpro.2015.06.012

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the problem of detecting a distributed target in interference and noise. The target signal and interference are assumed to lie in two linearly independent subspaces, and their coordinates are unknown. The noise is Gaussian distributed, with an unknown covariance matrix. To estimate the covariance matrix, a set of training data is supposed available. We derive the Rao test and its two-step variant both in homogeneous and partially homogeneous environments. All of the proposed detectors exhibit a desifable constant false alarm rate. Numerical examples show that the proposed detectors can provide better detection performance than their natural counterparts in some scenarios. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：333 / 342

页数：10

共 42 条

[1]

[Anonymous], 2007, Matrix Differential Calculus with Applications in Statistics and Econometrics, West Sussex PO19

[2]

[Anonymous], Fundamentals of Statistical Signal Processing: Estima-tion Theory

[3] Adaptive Detection of Point-Like Targets in the Presence of Homogeneous Clutter and Subspace Interference [J].

Aubry, A. ;

De Maio, A. ;

Orlando, D. ;

Piezzo, M. .

IEEE SIGNAL PROCESSING LETTERS, 2014, 21 (07) :848-852

[4] Radar Detection of Distributed Targets in Homogeneous Interference Whose Inverse Covariance Structure is Defined via Unitary Invariant Functions [J].

Aubry, Augusto ;

De Maio, Antonio ;

Pallotta, Luca ;

Farina, Alfonso .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (20) :4949-4961

[5] Direction detector for distributed targets in unknown noise and interference [J].

Bandiera, F. ;

Besson, O. ;

Ricci, G. .

ELECTRONICS LETTERS, 2013, 49 (01) :68-69

[6] An ABORT-Like detector with improved mismatched signals rejection capabilities [J].

Bandiera, Francesco ;

Besson, Olivier ;

Ricci, Giuseppe .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (01) :14-25

[7] Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference [J].

Bandiera, Francesco ;

De Maio, Antonio ;

Greco, Antonio Stefano ;

Ricci, Giuseppe .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (04) :1223-1237

[8] GLRT-based direction detectors in homogeneous noise and subspace interference [J].

Bandiera, Francesco ;

Besson, Olivier ;

Orlando, Danilo ;

Ricci, Giuseppe ;

Scharf, Louis L. .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (06) :2386-2394

[9] On the CFAR property of GLRT-based direction detectors [J].

Bandiera, Francesco ;

Orlando, Danilo ;

Ricci, Giuseppe .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (08) :4312-4315

[10] Localization Strategies for Multiple Point-Like Radar Targets [J].

Bandiera, Francesco ;

Mancino, Michele ;

Ricci, Giuseppe .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (12) :6708-6712

← 1 2 3 4 5 →