RIS辅助MIMO-FMCW雷达的非视距目标参数估计方法

    A method for estimating non-line-of-sight target parameters of RIS-assisted MIMO-FMCW radar

    • 摘要: 作为低成本、易部署的信道环境调控节点,智能超表面(Reconfigurable Intelligent Surface,RIS)可有效检测、定位和识别盲区遮蔽动目标,在智能驾驶等领域具有重大的应用价值。基于RIS辅助的多输入多输出(Multiple-Input Multiple-Output,MIMO)-调频连续波(Frequency Modulated Continuous Wave,FMCW)雷达系统,本文开展非视距目标距离和速度测量问题的研究。首先,构建非视距场景下RIS辅助MIMO-FMCW雷达系统的发射和接收信号模型。其次,提出一种基于路径增益最大化准则的交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)算法以优化RIS相移矩阵参数;接着,对雷达信号进行处理,从雷达原始回波得到目标的距离‑多普勒谱,进而得到非视距目标的距离和速度信息。最后,仿真结果表明,所提方法能够实现非视距目标的距离和速度参数的有效估计,为非视距区域下的目标探测技术提供有力保障。

       

      Abstract: As a low-cost and easily deployable channel environment control node, the Reconfigurable Intelligent Surface (RIS) can effectively detect, locate and identify blind spot obscured moving targets, and has significant application value in fields such as intelligent driving. Ris-assisted Multiple-Input Multiple-Output (MIMO) - Frequency Modulated Continuous Wave (FMCW) radar system This paper conducts research on the measurement of distance and speed of non-line-of-sight targets. Firstly, construct the transmission and reception signal models of the RIS-assisted MIMO-FMCW radar system in non-line-of-sight scenarios. Secondly, an Alternating Direction Method of Multipliers (ADMM) algorithm based on the criterion of maximizing path gain is proposed to optimize the parameters of the RIS phase shift matrix; Then, the radar signal is processed, and the distance-Doppler spectrum of the target is obtained from the original radar echo, thereby obtaining the distance and velocity information of the non-line-of-sight target. Finally, the simulation results show that the proposed method can effectively estimate the distance and velocity parameters of non-line-of-sight targets, providing a strong guarantee for target detection technology in non-line-of-sight areas.

       

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