DocumentCode
508755
Title
Direction finding using minimum redundancy MIMO radar
Author
Ming Jin ; Guisheng Liao ; Jun Li ; Weiping Li
Author_Institution
Nat. Lab. of Radar Signal Process., Xidian Univ., Xian
fYear
2009
fDate
20-22 April 2009
Firstpage
1
Lastpage
4
Abstract
An augmented covariance matrix, which has the characteristics of Hermitian and Toeplitz, is constructed for minimum redundancy (MR) multiple-input multiple-output (MIMO) radar to implement direction finding using Capon algorithm. A diagonal loading technique is employed to avoid non-positive definite of the covariance matrix. The diagonal loading level is adjusted adaptively according to the eigenvalues of the covariance matrix. The proposed method not only expands the system degrees-of-freedom (DOFs), but also has robust spatial spectrum estimation performance. In addition, the method requires no priori knowledge of the number of targets. Simulation results showing the performance improvement of the proposed method is presented.
Keywords
Hermitian matrices; MIMO communication; Toeplitz matrices; radar signal processing; radio direction-finding; Capon algorithm; Hermitian characteristic; Toeplitz characteristic; augmented covariance matrix; diagonal loading technique; direction finding; minimum redundancy MIMO radar; multiple input multiple output radar; Augmented covariance matrix; diagonal loading; minimum redundancy (MR); multiple-input multiple-output (MIMO);
fLanguage
English
Publisher
iet
Conference_Titel
Radar Conference, 2009 IET International
Conference_Location
Guilin
ISSN
0537-9989
Print_ISBN
978-1-84919-010-7
Type
conf
Filename
5367621
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