Passive MIMO-Radar-Based Target Localization With Unknown Illuminators Position

被引:0
|
作者
Zhou, Yao [1 ]
Li, Wanchun [1 ]
Gao, Lin [1 ]
Sun, Yimao [2 ]
Li, Gaiyou [1 ]
Zhang, Huaguo [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Sichuan Univ, Coll Comp Sci, Chengdu 610065, Peoples R China
基金
中国国家自然科学基金;
关键词
Location awareness; Receivers; Radar; Mathematical models; Noise measurement; Transmitters; Sensors; Closed-form solution; Cramer-Rao bound (CRB); passive-multiple-input multiple-output (P-MIMO) radar; target localization; unknown illuminators position; BISTATIC RANGE MEASUREMENTS; ELLIPTIC LOCALIZATION; TRANSMITTER; LOCATION; DELAY; TDOA;
D O I
10.1109/JSEN.2024.3362740
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
An essential function of passive multiple-input multiple-output (P-MIMO) is to perform target localization with satisfactory accuracy. To this end, a huge amount of algorithms have been proposed, wherein most of them assumed that the positions of illuminators were known a priori, or at least could be modeled as random variable with known mean and covariance. In this article, we are devoted to proposing a new algorithm for joint target and illuminators localization (JTIL) based on the P-MIMO radar, where the positions of illuminators are entirely not known a priori. To this end, the angle of arrival (AOA) and time difference of arrival (TDOA) from each illuminator to receivers have been additionally incorporated, so as to exploit as much as possible the information provided by the P-MIMO radar. The proposed algorithm has the merit of being able to perform JTIL in a closed form, and thus, the convergence is guaranteed. Theoretical analyses concerning the proposed method and the traditional sequential processing (i.e., first estimate the illuminator positions and then perform target localization) are also presented, showing that the proposed method tends to have better performance under low signal-to-noise ratio (SNR). Finally, the performance of proposed method is verified via simulations.
引用
收藏
页码:10680 / 10690
页数:11
相关论文
共 50 条
  • [1] MIMO-Radar-Based Indoor Passive Geolocation and Tracking
    Vaghefi, Reza Monir
    Amuru, SaiDhiraj
    Jakubisin, Daniel
    Schloemann, Javier
    Buehrer, R. Michael
    PROCEEDINGS OF THE 2016 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2016, : 622 - 629
  • [2] Target Localization for MIMO Radar with Unknown Mutual Coupling Based on Sparse Representation
    Li, Jianfeng
    Zhang, Xiaofei
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2014 PROCEEDINGS, VOL III, 2014, 305 : 465 - 474
  • [3] On the Channel Capacity of MIMO-Radar-Based Communications
    Xu, Renhui
    Peng, Laixian
    Zhao, Wendong
    2015 IEEE 34TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC), 2015,
  • [4] Influence of Transmitter Position Accuracy on Target Localization in Passive Radar
    Malanowski, Mateusz
    Krawczyk, Grzegorz
    Zywek, Marcin
    Kulpa, Krzysztof
    2019 INTERNATIONAL RADAR CONFERENCE (RADAR2019), 2019, : 651 - 656
  • [5] Array Based Passive Radar Target Localization
    Huang, Jamie H.
    Garry, J. L.
    Smith, G. E.
    Baker, C. J.
    2016 IEEE RADAR CONFERENCE (RADARCONF), 2016, : 232 - 237
  • [6] Target Position Localization in a Passive Radar System Through Convex Optimization
    Chalise, Batu K.
    Zhang, Yimin D.
    Amin, Moeness G.
    Himed, Braham
    WIRELESS SENSING, LOCALIZATION, AND PROCESSING VIII, 2013, 8753
  • [7] Target Localization Sensitivity Using MIMO Radar in the Presence of Antenna Position Uncertainties
    Sun, Bin
    Zhang, Xufeng
    Liao, Dongping
    Li, Xiang
    2014 IEEE 8TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2014, : 509 - 512
  • [8] Multi-target localization for bistatic MIMO radar in the presence of unknown mutual coupling
    Zheng, Zhidong
    Zhang, Jianyun
    Wu, Yuebo
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2012, 23 (05) : 708 - 714
  • [10] Integrated MIMO Passive Radar Target Detection
    Zaimbashi, Amir
    Greco, Maria Sabrina
    Gini, Fulvio
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, 72 : 2677 - 2691