Joint DOA and DOD Estimation in Bistatic MIMO Radar without Estimating the Number of Targets

被引：0
|
作者：
Xi, Zaifang [1 ]
Wu, Xiao-Feng [1 ]
Wu, Shuyue [2 ]
Tang, Zhijun [1 ]
Hu, Shigang [1 ]
机构：
[1] Hunan Univ Sci & Technol, Sch Informat & Elect Engn, Xiangtan 411201, Peoples R China
[2] Hunan Int Econ Univ, Sch Informat Sci & Engn, Changsha 410205, Hunan, Peoples R China
来源：
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING | 2014年 / 2014卷
关键词：
D O I：
10.1155/2014/195650
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Existing subspace-based direction finding methods for multiple-input multiple-output (MIMO) radar assume perfect knowledge about the dimension of the signal or noise subspace, which is hard to be established without prior knowledge of the signal environment. In this paper, an efficient method for joint DOA and DOD estimation in bistatic MIMO radar without estimating the number of targets is presented. The proposed method computes an estimate of the noise subspace using the power of R (POR) technique. Then the two-dimensional (2D) direction finding problem is decoupled into two successive one-dimensional (1D) angle estimation problems by employing the rank reduction (RARE) estimator.
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页数：8
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