Two-Dimensional DOA Estimation of Coherent Signal Exploiting the Motion of Parallel Array

被引:1
作者
Ma, Penghui [1 ]
Hao, Zhimei [1 ]
Zeng, Haowei [1 ]
Li, Jianfeng [2 ,3 ]
Zhang, Xiaofei [2 ,3 ]
Gil-Pita, Roberto [4 ]
机构
[1] AVIC Leihua Elect Technol Res Inst, Wuxi 214082, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 211106, Peoples R China
[3] SongShan Lab, Zhengzhou 450046, Peoples R China
[4] Univ Alcala, Dept Signal Theory & Commun, Madrid 28801, Spain
关键词
Array signal processing; Estimation; Sensor arrays; Covariance matrices; Phased arrays; Apertures; Vectors; Array motion; coherent signal; DOA; parallel coprime array; OF-ARRIVAL ESTIMATION; COPRIME ARRAY; NESTED ARRAY; FAMILY;
D O I
10.1109/TVT.2024.3418516
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Non-uniform arrays can achieve larger array apertures and estimation accuracy compared to uniform arrays with the same number of elements. However, the non-uniform spacing between array elements poses a challenge for applying classical spatial smoothing methods and similar techniques to achieve coherent signal angle estimation. In this paper, we leverage array motion to achieve signal decorrelation, facilitating accurate estimation of two-dimensional (2-D) angles for coherent signals. First, by exploiting the motion of a parallel coprime array, we construct a new cross-covariance matrix (CCM), which can be vectorized to obtain the difference coarray even with coherent signal, and can transform the 2-D angle estimation into one-dimensional (1-D) angle estimation at the same time. Second, with the vectorized CCM, an off-grid sparse representation approach, coupled with joint sparse recovery technology, is considered to obtain accurate angle estimation. In contrast to the existing approach, the proposed method can conduct 2-D angle estimation without requiring prior knowledge of the source count, which makes it more applicable in practice. The validity and superiority of the proposed method are confirmed through simulation.
引用
收藏
页码:17765 / 17770
页数:6
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