多普勒模糊下的FMCWMIMO雷达目标参数估计方法

Estimating the target parameters of FMCW MIMO radar with doppler ambiguity

近年来,随着智能驾驶技术的不断发展,毫米波雷达作为汽车安全控制系统的核心组件受到了广泛关注。时分复用(TDM)多输入多输出(MIMO)调频连续波(FMCW)雷达因具有低硬件成本和高角度分辨率的优势而被广泛应用于汽车雷达,但TDMMIMO在实际应用中还存在对运动目标检测易出现速度模糊和角度模糊问题,导致检测误差变大,对于自动驾驶场景存在一定的安全隐患。为解决上述TDM MIMO FMCW雷达存在检测误差高的问题,提出了在多普勒模糊下的FMCW MIMO雷达目标参数估计方法,在不增加额外硬件开销的前提下,可确保算法在低复杂度下提升监测的时效性,解决了速度模糊和相位偏移问题;利用加Kaiser窗FFT波束形成方法对目标角度进行测量,从而得到更精准的目标信息。仿真和实验结果验证了所提方法的有效性。

In recent years,with the continuous development of intelligent driving technology,millimeter-wave radar has received ex-tensive attention as the core component of the automotive safety control system.Time division multiplexing(TDM)multiple-input multiple-output(MIMO)frequency modulated continuous wave(FMCW)radar is widely used in automotive radars due to its advan-tages of low hardware cost and high angular resolution.While the TDM MIMO has above advantages,in practical applications,there are also problems such as velocity ambiguity and angle ambiguity in the detection of moving targets,leading to greater detection er-rors.These problems have certain safety hazards for autonomous driving scenarios.In order to improve the above-mentioned prob-lems of TDM MIMO FMCW radar and reduce the detection error,a target parameter estimation method of FMCW MIMO radar in the case of doppler ambiguity was proposed,which could ensure that the algorithm can improve the timeliness of monitoring with the condition of low complexity and solve the problems of velocity ambiguity and phase offset without additional hardware condi-tion.The Kaiser window FFT beamforming method was used to measure the target angle to obtain more accurate target information.Simulation and experimental results verify the effectiveness of the proposed algorithm.