Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0815005-1(2021)

Improved CA-CFAR Algorithm Based on LFMCW Radar Multi-Target Detection

Binbin Sun1,2、*, Tao Shen1, Hongpeng Li2, Xiaorong Cui1, and Yukui Chen3
Author Affiliations
  • 1School of Nuclear Engineering, Rocket Force Engineering University, Xi'an, Shaanxi 710025, China
  • 225th, Beijing Institute of Remote Sensing Equipment, Beijing 100854
  • 3School of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (0)
    References (13)
    Tools
    Paper Information
    Topics
    Figures & Tables(9)
    Radar system structure

    Fig. 1. Radar system structure

    Download full size
    LFMCW radar system sawtooth wave working principle

    Fig. 2. LFMCW radar system sawtooth wave working principle

    Download full size
    CA-CFAR detection principle

    Fig. 3. CA-CFAR detection principle

    Download full size
    CA-CFAR detection target shadowing effect

    Fig. 4. CA-CFAR detection target shadowing effect

    Download full size
    CA-CFAR improved algorithm schematic

    Fig. 5. CA-CFAR improved algorithm schematic

    Download full size
    CA-CFAR multi-target detection diagrams under different equidistant conditions. (a)(b) Multi-target detection image and partial enlarged image with bi-division; (c)(d) multi-target detection image and partial enlarged image with four-division; (e)(f) multi-target detection image and partial enlarged image with eight-division

    Fig. 6. CA-CFAR multi-target detection diagrams under different equidistant conditions. (a)(b) Multi-target detection image and partial enlarged image with bi-division; (c)(d) multi-target detection image and partial enlarged image with four-division; (e)(f) multi-target detection image and partial enlarged image with eight-division

    Download full size
    Multi-target detection diagrams under different average conditions of sub-reference units. (a)(b) Detection image and partial enlarged image with average value of Z/2; (c)(d) detection image and partial enlarged image with average value of Z/3; (e)(f) detection image and partial enlarged image with average value of Z/4

    Fig. 7. Multi-target detection diagrams under different average conditions of sub-reference units. (a)(b) Detection image and partial enlarged image with average value of Z/2; (c)(d) detection image and partial enlarged image with average value of Z/3; (e)(f) detection image and partial enlarged image with average value of Z/4

    Download full size
    Echo of sidewalk trees

    Fig. 8. Echo of sidewalk trees

    Download full size
    Sidewalk tree target detection

    Fig. 9. Sidewalk tree target detection

    Download full size
    Tools

    Get Citation

    Copy Citation Text

    Binbin Sun, Tao Shen, Hongpeng Li, Xiaorong Cui, Yukui Chen. Improved CA-CFAR Algorithm Based on LFMCW Radar Multi-Target Detection[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0815005-1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Jun. 29, 2020

    Accepted: Sep. 23, 2020

    Published Online: Apr. 6, 2021

    The Author Email: Binbin Sun (1491967912@qq.com)

    DOI:10.3788/LOP202158.0815005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology