Gridless Mixed Sources Localization Based on Low-Rank Matrix Reconstruction

被引:11
作者
Wu, Xiaohuan [1 ]
Yan, Jun [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
Noise measurement; Direction-of-arrival estimation; Estimation; Covariance matrices; Matrix decomposition; Array signal processing; Microphone arrays; Source localization; far-field; near-field; gridless; low-rank matrix reconstruction; FAR-FIELD SOURCES; OF-ARRIVAL ESTIMATION; DOA ESTIMATION METHOD; NEAR-FIELD; PASSIVE LOCALIZATION; COPRIME ARRAY; SPARSE; CLASSIFICATION;
D O I
10.1109/LWC.2020.3003446
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this letter, we propose a gridless method for mixed FF and NF sources localization. To establish the Vandermonde structure for DOA and range estimation, we employ the fourth-order cumulants to construct two special matrices which are only related to the DOA or range parameters, respectively. Then, we build two low-rank matrix reconstruction models to retrieve the DOAs and ranges by exhibiting the low-rank and Toeplitz structures of the cumulant matrices. We also present an easy-to-implement post-processing to pair the DOA and range estimates. Our method requires no discretization of the angle nor range domains. We finally carry out simulations to verify the superiority of our proposed method.
引用
收藏
页码:1748 / 1752
页数:5
相关论文
共 24 条
  • [1] [Anonymous], 2016, SPARSE METHODS DIREC
  • [2] Joint DOA, Range, and Polarization Estimation for Rectilinear Sources With a COLD Array
    Chen, Hua
    Wang, Weifeng
    Liu, Wei
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (05) : 1398 - 1401
  • [3] Efficient Application of MUSIC Algorithm Under the Coexistence of Far-Field and Near-Field Sources
    He, Jin
    Swamy, M. N. S.
    Ahmad, M. Omair
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (04) : 2066 - 2070
  • [4] Computationally efficient maximum likelihood estimation of structured covariance matrices
    Li, HB
    Stoica, P
    Li, J
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (05) : 1314 - 1323
  • [5] Passive Localization of Mixed Near-Field and Far-Field Sources Using Two-stage MUSIC Algorithm
    Liang, Junli
    Liu, Ding
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (01) : 108 - 120
  • [6] Gridless Super-Resolution Direction-of-Arrival Estimation with Arbitrary Planar Sparse Array
    Lu, Aihong
    Guo, Yan
    Yang, Sixing
    [J]. FREQUENZ, 2020, 74 (3-4) : 103 - 110
  • [7] A sparse signal reconstruction perspective for source localization with sensor arrays
    Malioutov, D
    Çetin, M
    Willsky, AS
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (08) : 3010 - 3022
  • [8] High-performance localization of mixed fourth-order stationary sources based on a spatial/temporal full ESPRIT-like method
    Molaei, Amir Masoud
    Zakeri, Bijan
    Andargoli, Seyed Mehdi Hosseini
    [J]. SIGNAL PROCESSING, 2020, 171
  • [9] Components Separation Algorithm for Localization and Classification of Mixed Near-Field and Far-Field Sources in Multipath Propagation
    Molaei, Amir Masoud
    Zakeri, Bijan
    Hosseini Andargoli, Seyed Mehdi
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 : 404 - 419
  • [10] Closed-Form Expression of Stochastic CRB for Mixed Near-Field and Far-Field Sources in Multipath Propagation Environments
    Molaei, Amir Masoud
    Zakeri, Bijan
    Andargoli, Seyed Mehdi Hosseini
    [J]. IEEE COMMUNICATIONS LETTERS, 2019, 23 (04) : 640 - 643