Multiple Unresolved Target Localization and Tracking using Colocated MIMO Radars

被引：53

作者：

Gorji, A. A. ^{[1
]}

Tharmarasa, R. ^{[1
]}

Blair, W. D. ^{[2
]}

Kirubarajan, T. ^{[1
]}

机构：

[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada

[2] Georgia Tech Res Inst, Rome, GA 30161 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2012年 / 48卷 / 03期

关键词：

WAVE-FORM DESIGN; INFORMATION; DIVERSITY;

D O I：

10.1109/TAES.2012.6237605

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper localization and tracking of multiple unresolved targets using a colocated multiple input multiple output (MIMO) radar is addressed. The commonly-used model for colocated MIMO radars is modified in order to guarantee the observability in received measurements. Then, a maximum likelihood estimator is derived for localizing multiple targets falling within a certain resolution cell. The Cramer-Rao lower bound (CRLB) for localization with the new model is also derived. For the tracking part, a multiple-hypothesis-based approach is used to deal with the uncertainty in target state estimation. In addition, an unscented Kalman filter (UFK) based estimator is used to tackle the nonlinearity in the measurement model. Finally, the posterior CRLB (PCRLB) is derived to evaluate the consistency of tracking results. Simulation results confirm the superiority of the proposed approach in resolving multiple targets over using the standard localization results for tracking.

引用

页码：2498 / 2517

页数：20

共 31 条

[1]

[Anonymous], 1995, P AM CONTR C SEATTL

[2]

[Anonymous], 1995, Multitarget-Multisensor Tracking:Principles and Techniques

[3] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].

Arulampalam, MS ;

Maskell, S ;

Gordon, N ;

Clapp, T .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188

[4]

Balasubramanian V, 2005, NEU INF PRO, P81

[5]

Bar-Shalom Y., 2004, Estimation with applications to tracking and navigation: Theory algorithms and software

[6] Target detection and localization using. MIMO radars and sonars [J].

Bekkerman, Ilya ;

Tabrikian, Joseph .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) :3873-3883

[7]

Boyd S., 2004, CONVEX OPTIMIZATION, VFirst, DOI DOI 10.1017/CBO9780511804441

[8] Spatial diversity in radars-models and detection performance [J].

Fishler, E ;

Haimovich, A ;

Blum, RS ;

Cimini, LJ ;

Chizhik, D ;

Valenzuela, RA .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (03) :823-838

[9] Target localisation techniques and tools for multiple-input multiple-output radar [J].

Godrich, H. ;

Haimovich, A. M. ;

Blum, R. S. .

IET RADAR SONAR AND NAVIGATION, 2009, 3 (04) :314-327

[10]

GODRICH H, 2009, P WAV DIV DES C KISS, P124

← 1 2 3 4 →