DocumentCode
1730447
Title
Angle estimation for monostatic MIMO radar based on Multistage Wiener Filter
Author
Wang, Wei ; Wang, Xianpeng ; Yan, Jinshan
Author_Institution
Autom. Dept., Harbin Eng. Univ., Harbin, China
Volume
1
fYear
2011
Firstpage
200
Lastpage
203
Abstract
In this paper, an angle estimation algorithm for monostatic Multiple-Input Multiple-Output (MIMO) radar based on Multistage Wiener Filter (MSWF) is present. Firstly, a reduced dimensional transformation matrix can be utilized to transform the high dimensional received signal data into low dimensional one. Then the signal subspace can be obtained by forward recursion of the Multistage Wiener Filter. The root polynomial of direction of arrival (DOA) estimation can be constituted by signal subspace, and the DOA can be obtained by root-MUSIC. The proposed method avoids not only the estimate of the covariance matrix and its eigendecomposition, but also the angle searching. Thus, the proposed method has lower computational complexity. Simulation results show that the proposed algorithm has better estimation performance than other methods.
Keywords
MIMO radar; Wiener filters; computational complexity; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; radar signal processing; signal classification; angle estimation; angle searching; computational complexity; covariance matrix; dimensional transformation matrix; direction of arrival estimation; eigendecomposition; monostatic MIMO radar; monostatic multiple-input multiple-output radar; multistage Wiener filter; root polynomial; root-MUSIC; signal subspace; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; MIMO radar; Radar antennas; Wiener filter; Angle estimation; Monostatic MIMO radar; Muti-stage wiener filter; Root MUSIC;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6181940
Filename
6181940
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