Direction finding algorithms for time reversal MIMO radars

Author

Foroozan, Foroohar ; Asif, Amir ; Jin, Yunwai ; Moura, José M F

Author_Institution

Comput. Sci. & Eng., York Univ., Toronto, ON, Canada

fYear

2011

fDate

28-30 June 2011

Firstpage

433

Lastpage

436

Abstract

A time reversal (TR) based direction of arrival (DOA) estimation framework for multiple-input/multiple-output (MIMO) radars is presented. We develop minimum variance distortionless response (MVDR) and multiple signal classification (MUSIC) based DOA estimators for the TR/MIMO setup. The TR/MIMO estimation algorithms outperform their conventional counterparts in: (i) analytical Cramér Rao Bounds (CRB) comparisons, and; (ii) numerical Monte Carlo simulations for a range of signal to noise ratios that we tested.

Keywords

MIMO radar; Monte Carlo methods; direction-of-arrival estimation; radar signal processing; signal classification; Cramer Rao bounds; DOA estimation; MUSIC; MVDR; direction finding algorithms; minimum variance distortionless response; multiple signal classification; multiple-input multiple-output radars; numerical Monte Carlo simulations; time reversal MIMO radars; time reversal based direction of arrival estimation; Clutter; Covariance matrix; Direction of arrival estimation; MIMO; MIMO radar; Multiple signal classification; Cramér-Rao Bounds; DOA Estimation; Localization; MIMO; Multipath; Time Reversal;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing Workshop (SSP), 2011 IEEE

Conference_Location

Nice

ISSN

pending

Print_ISBN

978-1-4577-0569-4

Type

conf

DOI

10.1109/SSP.2011.5967724

Filename

5967724