2-D DOA Estimation for Coprime Cubic Array: A Cross-correlation Tensor Perspective

被引：0
|
作者：
Zheng, Hang [1 ]
Zhou, Chengwei [1 ]
Wang, Yong [1 ]
Shi, Zhiguo [1 ,2 ]
机构：
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
[2] Alibaba Zhejiang Univ Joint Inst Frontier Technol, Hangzhou, Peoples R China
来源：
2020 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2021年
关键词：
DOA estimation; coprime cubic array; cross-correlation; coarray tensor; structured tensorization;
D O I：
暂无
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：
In this paper, a cross-correlation coarray tensor-based 2-D direction-of-arrival (DOA) estimation method for coprime cubic array (CCA) is proposed. Since the CCA received signals characterized by two coprime tensors cannot be collectively shaped as a single tensor to operate auto-correlation, the cross-correlation is introduced to calculate the coarray tensor statistics of CCA. A Nyquist-matched 4-D coarray tensor is then obtained for 2-D DOA estimation, where the designed structured tensorization is applied without spatial smoothing. Simulation results verify the effectiveness of the proposed method.
引用
收藏
页码：447 / 448
页数：2
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