The millimeter-wave traffic flow detection radars have been widely used in traffic information collection systems during these years in China. To improve the detection accuracy of the traffic radar sensor, background suppression is of great necessity and importance. In this paper, after analyzing the principles of the millimeter-wave traffic radar sensor and the properties of the echo power, we propose a novel method for background suppression. The proposed algorithm is on the basis of order statistics and coherent averaging. Moreover, we present the field test results in different road conditions, and additionally compare the algorithm with previous approaches. Consistency of the test results with the theory proves the feasibility of the proposed algorithm. And the capacity for background suppression of the traffic radar sensor has been noticeably improved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Novel Method for Background Suppression in Millimeter-Wave Traffic Radar Sensor


    Contributors:
    Zhang, Hao (author) / Yu, Wen (author) / Sun, Xiaowei (author)


    Publication date :

    2008-10-01


    Size :

    487006 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Novel Passive Millimeter Wave Traffic Sensor

    Yuijri, L. / Harnett, L. | British Library Conference Proceedings | 1994


    Traffic incident detection method for roadside millimeter wave radar

    CHEN RUI / SHI HAIXIN / HU XIAOPENG et al. | European Patent Office | 2024

    Free access

    Road traffic monitoring system of 4D millimeter wave radar and video sensor array

    ZHANG HUA / LIU SHUYAN / LIU SIQI et al. | European Patent Office | 2023

    Free access

    Intelligent traffic detection with millimeter-wave radar and camera

    Zhang, Yingchao / Ma, Zhaoyou / Han, Wen et al. | British Library Conference Proceedings | 2022


    Intelligent traffic detection with millimeter-wave radar and camera

    Zhang, Yingchao / Ma, Zhaoyou / Han, Wen et al. | SPIE | 2022