Compressed Sensing-Based Multitarget CFAR Detection Algorithm for FMCW Radar

被引:23
|
作者
Cao, Zhihui [1 ]
Li, Junjie [1 ]
Song, Chunyi [1 ,2 ,3 ]
Xu, Zhiwei [1 ,2 ,3 ]
Wang, Xiaoping [1 ,2 ,3 ]
机构
[1] Zhejiang Univ, Inst Marine Elect & Intelligent Syst, Ocean Coll, Zhoushan 316021, Peoples R China
[2] Zhejiang Univ, Minist Educ, Engn Res Ctr, Ocean Sensing Technol & Equipment, Zhoushan 316021, Peoples R China
[3] Zhejiang Univ, Key Lab Ocean Observat Imaging Testbed Zhejiang, Zhoushan 316021, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Radar; Radar detection; Chirp; Prediction algorithms; Clutter; Signal to noise ratio; Correlation; Compressed sensing (CS); constant false alarm rate (CFAR); frequency-modulated continuous wave (FMCW) radar; multitarget detection; SIGNAL RECOVERY; CLUTTER; PURSUIT;
D O I
10.1109/TGRS.2021.3054961
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Constant false alarm rate (CFAR) detection algorithms, which are widely used in frequency-modulated continuous wave (FMCW) radar systems, achieve target detection by employing a threshold determined on the basis of a predicted background level. However, in multitarget scenarios, the multitarget shadowing effect can lead to inaccurate prediction of the background level and improper setting of the threshold, which then results in severely degraded CFAR performance. To combat this multitarget shadowing effect, a novel CFAR algorithm based on sparsity adaptive correlation maximization (SACM-CFAR) is proposed in this work. The proposed SACM-CFAR algorithm realizes target detection by utilizing the correlation between linear measurements of the radar intermediate frequency (IF) signal and the sensing matrix. To achieve a desired false alarm rate, the proposed algorithm determines the threshold by estimating the distributed parameters of the reduced sample set obtained by removing the detected targets from the original sample set. Both simulation results and field test results verify that the proposed algorithm outperforms conventional algorithms in multitarget scenarios.
引用
收藏
页码:9160 / 9172
页数:13
相关论文
共 50 条
  • [1] Compressed sensing-based spectrum detection algorithm for compressed sampling transmitting signal
    Li, Yibing
    Chang, Guobin
    Ye, Fang
    [J]. Journal of Computational Information Systems, 2013, 9 (21): : 8441 - 8448
  • [2] A Novel CFAR Algorithm for Multi-target Detection with FMCW Radar
    Cao, Zhihui
    Li, Junjie
    Song, Chunyi
    Xu, Zhiwei
    Wang, Xiaoping
    [J]. 2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [3] DNN-Based Peak Sequence Classification CFAR Detection Algorithm for High-Resolution FMCW Radar
    Cao, Zhihui
    Fang, Wenwei
    Song, Yuying
    He, Lai
    Song, Chunyi
    Xu, Zhiwei
    [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60
  • [4] DNN-Based Peak Sequence Classification CFAR Detection Algorithm for High-Resolution FMCW Radar
    Cao, Zhihui
    Fang, Wenwei
    Song, Yuying
    He, Lai
    Song, Chunyi
    Xu, Zhiwei
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [5] Antenna placement optimisation for compressed sensing-based distributed MIMO radar
    Chen, Peng
    Qi, Chenhao
    Wu, Lenan
    [J]. IET RADAR SONAR AND NAVIGATION, 2017, 11 (02): : 285 - 293
  • [6] Compressed sensing-based angle estimation for noncircular sources in MIMO radar
    Guang, Chen
    Qi, Liu
    [J]. 2014 FOURTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2014, : 40 - 44
  • [7] A Novel Vital Sign Sensing Algorithm for Multiple People Detection Based on FMCW Radar
    Wang, Wen
    Wang, Yong
    Zhou, Mu
    Nie, Wei
    [J]. 2020 IEEE ASIA-PACIFIC MICROWAVE CONFERENCE (APMC), 2020, : 1104 - 1106
  • [8] Multi-target CFAR detector based on compressed sensing radar system
    Feng, Boning
    Gao, Huotao
    Yang, Yunkun
    Ren, Fangyu
    Lu, Taoming
    [J]. INTERNATIONAL JOURNAL OF ELECTRONICS, 2024, 111 (06) : 975 - 988
  • [9] CFAR Target Detection Algorithm Based on Compressive Sensing
    Ma Junhu
    Liu Changyuan
    Gan Lu
    [J]. JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2017, 39 (12) : 2899 - 2904
  • [10] A circular convolution based on compressed sensing imaging algorithm for FMCW CSAR
    Song, Depeng
    Li, Binbing
    Qu, Yi
    Chen, Yijun
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (01) : 187 - 196