Coarray Polarization Smoothing for DOA Estimation with Coprime Vector Sensor Arrays

被引:3
|
作者
Wang, Yijing [1 ]
He, Jin [1 ]
Shu, Ting [1 ]
Truong, Trieu-Kien [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai Key Lab Intelligent Sensing & Recognit, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
DOA estimation; Electromagnetic vector sensor; Coprime array; Coarray smoothing; OF-ARRIVAL ESTIMATION; AIRBORNE RADAR; DIFFERENCE; ESPRIT; MUSIC;
D O I
10.1007/s00034-022-02275-1
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, the problem of direction-of-arrival (DOA) estimation of multiple sources using a coprime electromagnetic vector sensor (EMVS) array is addressed. Each EMVS consists of three mutually orthogonal electric dipoles and three mutually orthogonal magnetic loops, all collocated at a single point in space. By exploiting the polarization diversities embedded in the vector sensors, the coarray polarization smoothing (COPS) is presented to increase the degrees of freedom (DOFs) from the polarization coarray domain. In contrast to the widely used spatial smoothing technique, the COPS offers the following insights: (1) it is source polarization-dependent and is proved to offer 20 DOFs at most, (2) it does not reduce the efficient spatial coarray aperture of the coprime array so that it enables the use of all virtual coarray sensors without resorting to the nontrivial sparse recovery or array interpolation operations, and (3) it can be synthesized with the spatial smoothing to get the DOFs multiplied. Finally, the efficacy of the COPS scheme is verified by numerical examples.
引用
收藏
页码:3094 / 3116
页数:23
相关论文
共 50 条
  • [1] Coarray Polarization Smoothing for DOA Estimation with Coprime Vector Sensor Arrays
    Yijing Wang
    Jin He
    Ting Shu
    Trieu-Kien Truong
    Circuits, Systems, and Signal Processing, 2023, 42 : 3094 - 3116
  • [2] DOA estimation based on the difference and sum coarray for coprime arrays
    Wang, Xinghua
    Chen, Zhenhong
    Ren, Shiwei
    Cao, Shan
    DIGITAL SIGNAL PROCESSING, 2017, 69 : 22 - 31
  • [3] Extended Aperture DOA Estimation Using Coprime Arrays via Coarray Interpolation
    Xufeng Ling
    Huaizhong Zhu
    Circuits, Systems, and Signal Processing, 2022, 41 : 6222 - 6237
  • [4] Extended Aperture DOA Estimation Using Coprime Arrays via Coarray Interpolation
    Ling, Xufeng
    Zhu, Huaizhong
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2022, 41 (11) : 6222 - 6237
  • [5] Multiple co-frequency sources DOA estimation for coprime vector sensor arrays
    Chen, Xiao
    Zhang, Hao
    Wang, Zhen
    Chen, Yujie
    Gao, Yong
    PLOS ONE, 2023, 18 (05):
  • [6] Coarray Interpolation for DOA Estimation Using Coprime EMVS Array
    Fu, Mingcheng
    Zheng, Zhi
    Wang, Wen-Qin
    So, Hing Cheung
    IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 548 - 552
  • [7] Displaced Thinned Coprime Arrays with an Additional Sensor for DOA Estimation
    Raza, Ahsan
    Liu, Wei
    Shen, Qing
    2018 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2018, : 95 - 100
  • [8] DOA ESTIMATION EXPLOITING COPRIME ARRAYS WITH SPARSE SENSOR SPACING
    Zhang, Yimin D.
    Qin, Si
    Amin, Moeness G.
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [9] Vandermonde Decomposition of Coprime Coarray Covariance Matrix for DOA Estimation
    Shen, Yifan
    Zhou, Chengwei
    Gu, Yujie
    Lin, Hai
    Shi, Zhiguo
    2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2017,
  • [10] Multi-Layer Filled Coprime Arrays for DOA Estimation With Extended Hole-Free Coarray
    Lai, Xin
    Zhang, Xiaofei
    Han, Shengxinlai
    Ahmad, Mushtaq
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (02) : 2621 - 2632