DocumentCode
3093706
Title
Angle Estimation for Bi-static MIMO Radar Based on Tri-iterative Algorithm
Author
Zhaoyang, Niu ; Jianyun, Zhang ; Zhidong, Zheng
Author_Institution
Hefei Electron. Eng. Inst., Hefei, China
fYear
2010
fDate
17-19 Sept. 2010
Firstpage
1264
Lastpage
1267
Abstract
The Bi-static MIMO (multiple-input multiple-output) radar signal modal is established in this paper. And the proper coefficient of the MF (matcher filter) is chosen in order to keep the noise output has the same statistical property as the noise input. To make the computational complexity lower and the convergence speed faster, the signal subspace is used as a dimension-reducing matrix. A novel cost function is proposed based on the LS (least squares), which is solved by using the Tri-Iterative Algorithm. Afterwards, a unique closed solution in each iteration which is posed a typical least square problem is derived and the receiving and the transmitting angles are estimated for bi-static MIMO radar. It is worth mentioning that the estimated angles can be paired automatically. Finally, Simulation results are presented to verify the effectiveness of the proposed method.
Keywords
MIMO radar; computational complexity; direction-of-arrival estimation; iterative methods; least squares approximations; matched filters; matrix algebra; radar signal processing; LS method; MF; angle estimation; bistatic MIMO radar; computational complexity; convergence speed; dimension-reducing matrix; least squares method; matched filter; multiple-input multiple-output radar; radar signal model; receiving angle; transmitting angle; tri-iterative algorithm; Arrays; Covariance matrix; Estimation; MIMO radar; Noise; Signal processing algorithms; Angle estimation; Bi-static MIMO radar; Tri-Iterative Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8043-2
Electronic_ISBN
978-0-7695-4180-8
Type
conf
DOI
10.1109/PCSPA.2010.310
Filename
5636148
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