In current Intelligent Transportation Systems, 4-dimensional (4D) millimeter-wave radar is gradually conquering more important roles. However, the rich multipath phenomena of radar waves can cause virtual images to be mistaken for actual targets. Most existing solutions aim to identify distinguishable features within a single signal frame to differentiate virtual targets from actual ones, but they fail to fully leverage temporal evolution information. Moreover, they are often limited to simple scenarios with low-order bounces and cannot handle extreme high-order bounce cases. To address this gap, in this paper we establish a research methodology based on topology and propagation graph theory, and propose a time-varying 4D trajectory-based physical target discrimination (TPTD) method. This method can handle multipath virtual images formed by arbitrary-order bounces. Its effectiveness and superiority over advanced methods have been qualitatively and quantitatively validated through traceable simulated and measured data. We also discuss in detail the scalability of the algorithm and its potential bottlenecks. The proposed method can be applied to fields such as precise radar sensing and channel modeling, laying the foundation for integrated sensing and communication and autonomous driving.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Trajectory-Based Physical Target Discrimination Method for 4D mmWave Vehicular Radar


    Contributors:


    Publication date :

    2025-07-01


    Size :

    3405456 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    mmWave massive MIMO vehicular communications

    Cheng, Xiang / Gao, Shijian / Yang, Liuqing | TIBKAT | 2023


    MmWave Vehicular Beam Alignment Leveraging Online Learning

    Xian, Qingyang / Doufexi, Angela / Armour, Simon | IEEE | 2023


    Radar trajectory data-based expressway easy-to-confuse event discrimination method

    ZHU HAIFENG / LIU YUNPENG / CHEN SHENGHUA et al. | European Patent Office | 2023

    Free access

    Comparing mmWave Channel Simulators in Vehicular Environments

    Lubke, Maximilian / Dimce, Sigrid / Schettler, Max et al. | IEEE | 2021