Angle estimation in MIMO radar using reduced-dimension Capon

2010 ◽  
Vol 46 (12) ◽  
pp. 860 ◽  
Author(s):  
X. Zhang ◽  
D. Xu
2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Chaozhu Zhang ◽  
Yucai Pang

Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic MIMO radar. Firstly, we present an ESPRIT-MUSIC method in which ESPRIT algorithm is used to obtain ambiguous angle estimates. The disambiguation algorithm uses MUSIC-based procedure to identify the true direction cosine estimate from a set of ambiguous candidate estimates. The paired transmit angle and receive angle can be estimated and the manifold ambiguity can be solved. However, the proposed algorithm has high computational complexity due to the requirement of two-dimension search. Further, the Reduced-Dimension ESPRIT-MUSIC (RD-ESPRIT-MUSIC) is proposed to reduce the complexity of the algorithm. And the RD-ESPRIT-MUSIC only demands one-dimension search. Simulation results demonstrate the effectiveness of the method.


2011 ◽  
Vol 33 (7) ◽  
pp. 1684-1688
Author(s):  
Yi-duo Guo ◽  
Yong-shun Zhang ◽  
Lin-rang Zhang ◽  
Ning-ning Tong

Author(s):  
Yali Wang Yali Wang ◽  
Zhiguo Liu Zhiguo Liu ◽  
Zhonghai Yin Zhonghai Yin ◽  
Qiang Sun Qiang Sun ◽  
Xiaolong Liang Xiaolong Liang

Author(s):  
Evans Baidoo ◽  
Jurong Hu ◽  
Stephen Opoku Oppong ◽  
Ying Tian

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