Experimental Performance Analysis of Distributed Target Coherent Radar Detectors

被引:26
|
作者
Carretero-Moya, Javier [1 ]
De Maio, Antonio [2 ]
Gismero-Menoyo, Javier [1 ]
Asensio-Lopez, Alberto [1 ]
机构
[1] Univ Politecn Madrid, Escuela Tecn Super Ingn Telecomunicac, Dpto Senales Sistemas & Radiocomunicac, E-28040 Madrid, Spain
[2] Univ Naples Federico II, DIBET, I-80125 Naples, Italy
关键词
COVARIANCE-MATRIX ESTIMATION; COMPOUND-GAUSSIAN CLUTTER; VECTOR SUBSPACE DETECTION; SIGNAL-PROCESSING METHODS; RANGE-RESOLUTION RADAR; MAP CFAR DETECTION; SPHERICALLY INVARIANT; STATISTICAL-ANALYSIS; ADAPTIVE DETECTION; NONHOMOGENEITY DETECTOR;
D O I
10.1109/TAES.2012.6237589
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper a performance analysis on recorded live data of some detectors for range-spread targets is developed. To this end, real target and sea-clutter data collected by a fully coherent Ka-band radar system, featuring submeter range resolution, are used. The study is of particular interest for homeland security radar applications where a careful coastal control is necessary to prevent the arrival of nonauthorized small boats. The performance of both rank-one and subspace range-spread target detection strategies is analyzed, both in terms of constant false alarm rate (CFAR) behavior and in terms of detection capabilities. With reference to the former issue, clutter-only datafiles are used whereas, concerning the latter data containing both real target and clutter are used. The targets returns come from typical small boats (such as inflatable, wooden, and patrol boats) appearing range distributed at the resolution of the exploited radar system. Range-time detection maps are shown, assessing the capability of the analyzed processors to detect the aforementioned targets of great interest for homeland coastal security. Finally, the performance improvements achievable by over-resolving the target is quantified.
引用
收藏
页码:2216 / 2238
页数:23
相关论文
共 50 条
  • [1] High Resolution Sea Clutter and Maritime Target Data: Experimental Performance of Distributed Target Coherent Detectors
    Carretero-Moya, Javier
    De Maio, Antonio
    Gismero-Menoyo, Javier
    Asensio-Lopez, Alberto
    2011 IEEE RADAR CONFERENCE (RADAR), 2011, : 383 - 388
  • [2] Coherent parameters estimation and coherent performance analysis for distributed aperture coherent radar
    Song, Jing
    Zhang, Jian-Yun
    Zhang, Wen-Gang
    Tongxin Xuebao/Journal on Communications, 2015, 36 (03):
  • [3] Coherence performance analysis for distributed aperture coherent radar
    Song, Jing
    Zhang, Jian-Yun
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2015, 37 (01): : 9 - 14
  • [4] Performance Analysis of Coherent Parameters Estimation Algorithm for Distributed Coherent Aperture Radar
    Liu Xinghua
    Xu Zhenhai
    Wang Luoshengbin
    Dong Wei
    Xiao Shunping
    2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2017,
  • [6] On the Communication Performance of Airborne Distributed Coherent Radar
    Wu, Qinhao
    Zhang, Bo
    Wang, Hongqiang
    Peng, Jinlin
    APPLIED SCIENCES-BASEL, 2022, 12 (13):
  • [7] Detection Performance of Distributed Coherent Aperture Radar
    Luo Meng
    Huang Baotao
    Xing Wenge
    2023 24TH INTERNATIONAL RADAR SYMPOSIUM, IRS, 2023,
  • [8] Performance analysis of MLP-based radar detectors in Weibull-distributed clutter with respect to target doppler frequency
    Vicen-Bueno, Raul
    Jarabo-Amores, Maria P.
    Rosa-Zurera, Manuel
    Gil-Pita, Roberto
    Mata-Moya, David
    ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 2, PROCEEDINGS, 2007, 4669 : 690 - +
  • [9] New Coherent and Hybrid Detectors for Distributed MIMO Radar with Synchronization Errors
    Zeng, Cengcang
    Wang, Fangzhou
    Li, Hongbin
    Govoni, Mark A.
    2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
  • [10] Performance Analysis of Adaptive Detectors for a Distributed Target Based on Subspace Model
    Li, Hongli
    Wang, Huan
    Han, Hui
    Dai, Huanyao
    Liu, Weijian
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018, 37 (06) : 2651 - 2664