Low‐complexity 2D central DOA estimation of coherently distributed sources with cross‐correlation matrix

2014 ◽  
Vol 50 (16) ◽  
pp. 1118-1120 ◽  
Author(s):  
Xuemin Yang ◽  
Guangjun Li ◽  
Zhi Zheng ◽  
Lang Zhong
2015 ◽  
Vol 34 (11) ◽  
pp. 3697-3707 ◽  
Author(s):  
Xuemin Yang ◽  
Guangjun Li ◽  
Chi Chung Ko ◽  
Zhi Zheng ◽  
Tat Soon Yeo

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Zhenxin Cao ◽  
Peng Chen ◽  
Zhimin Chen ◽  
Yi Jin

This paper addresses the direction of arrival (DOA) estimation problem in the colocated multiple-input multiple-output (MIMO) radar with nonorthogonal signals. The maximum number of targets that can be estimated is theoretically derived as rankRsN, where N denotes the number of receiving antennas and Rs is the cross-correlation matrix of the transmitted signals. Therefore, with the rank-deficient cross-correlation matrix, the maximum number that can be estimated is less than the radar with orthogonal signals. Then, a multiple signal classification- (MUSIC-) based algorithm is given for the nonorthogonal signals. Furthermore, the DOA estimation performance is also theoretically analyzed by the Carmér-Rao lower bound. Simulation results show that the nonorthogonality degrades the DOA estimation performance only in the scenario with the rank-deficient cross-correlation matrix.


Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 638 ◽  
Author(s):  
Jianfeng Li ◽  
Feng Wang ◽  
Defu Jiang

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