A High Degree of Freedom Radiation Near-Field Source Localization Algorithm with Gain-Phase Error

被引:0
作者
Zhang, Qi [1 ]
Li, Wenxing [1 ]
Li, Si [2 ]
Mao, Yunlong [2 ]
机构
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
[2] Jiangsu Univ Sci & Technol, Sch Elect & Informat, Zhenjiang 212100, Jiangsu, Peoples R China
关键词
MIXED FAR-FIELD; DOA; MUSIC; SIGNALS; ESPRIT;
D O I
10.1155/2024/6834284
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
The limitation of the number of estimable sources in the localization of radiation near-field sources with gain-phase error is examined in this paper. When only the reference element has no gain-phase error, a new method based on an accurate model is proposed to enhance the maximum number of estimable sources. Based on the location parameter details of the auxiliary source, the method first derives the gain-phase error estimate matrix. Second, the source steering vector including errors is estimated using the total least square estimating signal parameter via rotational invariance techniques (TLS-ESPRIT), and the time-shifted data matrix is built utilizing the space-time combination idea, thus increasing the degree of freedom of the array. Then, the source steering vector containing the error is modified by the error compensation matrix constructed according to the moment of gain-phase error estimation. Finally, the estimated values of the source position parameters are obtained by using the closed formula of the gain phase of the modified source steering vector and the source position parameters. The experimental results show that the maximum estimable source number of the proposed algorithm is significantly improved compared with the previous results when only the reference array element has no gain-phase error. When the array number is 5 and 9, the maximum estimable source number of the algorithm is 9 and 17, respectively.
引用
收藏
页数:17
相关论文
共 30 条
  • [1] A novel multi-site damage localization method based on near-field signal subspace fitting using uniform linear sensor array
    Bao, Qiao
    Hu, Weiwei
    Wang, Qiang
    [J]. ULTRASONICS, 2021, 116
  • [2] Mixed Near-Field and Far-Field Localization and Array Calibration With Partly Calibrated Arrays
    He, Jin
    Shu, Ting
    Li, Linna
    Truong, Trieu-Kien
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 2105 - 2118
  • [3] Mixed Near-Field and Far-Field Source Localization Based on Exact Spatial Propagation Geometry
    He, Jin
    Li, Linna
    Shu, Ting
    Truong, Trieu-Kien
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (04) : 3540 - 3551
  • [4] Bearing and range estimation with an exact source-sensor spatial model
    He, Jin
    Li, Linna
    Shu, Ting
    [J]. IET SIGNAL PROCESSING, 2020, 14 (09) : 614 - 623
  • [5] Fast Reweighted Smoothed l0-Norm Near-Field Source Localization Based on Fourth-Order Statistics
    Kuang, Meidong
    Xie, Jian
    Wang, Ling
    Wang, Yuexian
    Gong, Yanyun
    [J]. IEEE COMMUNICATIONS LETTERS, 2022, 26 (01) : 74 - 78
  • [6] DOA and Range Estimation Using a Uniform Linear Antenna Array Without A Priori Knowledge of the Source Number
    Li, Jianzhong
    Wang, Yide
    Ren, Zhigang
    Gu, XiaoBo
    Yin, Ming
    Wu, Zongze
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2021, 69 (05) : 2929 - 2939
  • [7] 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
  • [8] Time-Frequency Multi-Invariance ESPRIT for DOA Estimation
    Lin, Jincheng
    Ma, Xiaochuan
    Yan, Shefeng
    Hao, Chengpeng
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2016, 15 : 770 - 773
  • [9] A Multiple Sources Localization Method Based on TDOA Without Association Ambiguity for Near and Far Mixed Field Sources
    Liu, Haitao
    Chen, Yonghua
    Lin, Yanming
    Xiao, Qian
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2021, 40 (08) : 4018 - 4046
  • [10] Localization for Mixed Near-Field and Far-Field Sources by Interlaced Nested Array
    Liu, Sheng
    Zhao, Jing
    Yuan, Ziqing
    Zhou, Ren
    Xiao, Min
    Lu, Chunyan
    [J]. PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2019, 82 : 107 - 115