Data fusion of target characteristic in multistatic passive radar

被引:0
|
作者
CAO Xiaomao [1 ]
YI Jianxin [1 ]
GONG Ziping [1 ]
RAO Yunhua [1 ,2 ]
WAN Xianrong [1 ]
机构
[1] School of Electronic Information, Wuhan University
[2] Shenzhen Research Institute, Wuhan University
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TN957.52 [数据、图像处理及录取];
学科分类号
080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ;
摘要
Radar cross section (RCS) is an important attribute of radar targets and has been widely used in automatic target recognition (ATR). In a passive radar, only the RCS multiplied by a coefficient is available due to the unknown transmitting parameters. For different transmitter-receiver (bistatic) pairs, the coefficients are different. Thus, the recovered RCS in different transmitter-receiver (bistatic) pairs cannot be fused for further use. In this paper, we propose a quantity named quasi-echo-power(QEP) as well as a method for eliminating differences of this quantity among different transmitter-receiver (bistatic) pairs. The QEP is defined as the target echo power after being compensated for distance and pattern propagation factor. The proposed method estimates the station difference coefficients(SDCs) of transmitter-receiver (bistatic) pairs relative to the reference transmitter-receiver (bistatic) pair first. Then, it compensates the QEP and gets the compensated QEP. The compensated QEP possesses a linear relationship with the target RCS. Statistical analyses on the simulated and real-life QEP data show that the proposed method can effectively estimate the SDC between different stations, and the compensated QEP from different receiving stations has the same distribution characteristics for the same target.
引用
收藏
页码:811 / 821
页数:11
相关论文
共 50 条
  • [21] Multistatic Passive Radar Multi-target Tracking Under Target-measurement-illuminator Data Association Uncertainty
    Li Xiaohua
    Li Ya'an
    Jin Haiyan
    Lu Xiaofeng
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (10) : 2840 - 2847
  • [22] Efficient multi-target localization through geometric data filtering in passive multistatic radar systems
    Fuksman, David Melon
    Almeira, Nahuel
    Morrone, Octavio Cabrera
    2024 IEEE RADAR CONFERENCE, RADARCONF 2024, 2024,
  • [23] A Real Time 3D Multi Target Data Fusion for Multistatic Radar Network Tracking
    El-Badawy, El-Sayed Abdoul Moaty
    Abd-Elshahid, Tarek Reda
    Hafez, Alaa El-Din Sayed
    PIERS 2014 GUANGZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2014, : 44 - 49
  • [24] Maritime Ship Target Imaging With GNSS-Based Passive Multistatic Radar
    He, Zhenyu
    Chen, Wu
    Yang, Yang
    Weng, Duojie
    Cao, Ning
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [25] Effectiveness of Deghosting Process for Multi-target Localization in Multistatic Passive Radar
    Hadi, M. Abdul
    Umar, Raza
    Shoaib, Mobein
    Bilal, Muhammad
    Jamil, Khalid
    2018 15TH EUROPEAN RADAR CONFERENCE (EURAD), 2018, : 142 - 145
  • [26] Effects of nuisance variables selection on target localisation accuracy in multistatic passive radar
    Wang, Jun
    Qin, Zhaotao
    Wei, Shaoming
    Sun, Zhongsheng
    Xiang, Hong
    ELECTRONICS LETTERS, 2018, 54 (19) : 1139 - 1140
  • [27] Moving Target Parameter Estimation and SFN Ghost Rejection in Multistatic Passive Radar
    Zhang, Yimin D.
    Himed, Braham
    2013 IEEE RADAR CONFERENCE (RADAR), 2013,
  • [28] Automatic Target Recognition Based on RCS and Angular Diversity for Multistatic Passive Radar
    Cao, Xiaomao
    Yi, Jianxin
    Gong, Ziping
    Wan, Xianrong
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2022, 58 (05) : 4226 - 4240
  • [29] A Unified Framework for Multistatic Passive Radar Target Detection Under Uncalibrated Receivers
    Zaimbashi, Amir
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 695 - 708
  • [30] Passive Imaging with Multistatic Polarimetric Radar
    Son, Il-Young
    Yazici, Birsen
    2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON), 2015, : 1584 - 1589