基于CFAR-ProxSGD车载调频连续波雷达干扰抑制方法

    Interference Mitigation Method of Automotive Millimeter Wave Radar Based on CFAR-ProxSGD

    • 摘要: 针对车载调频连续波雷达系统中存在的交叉干扰问题,提出了一种基于CFAR-ProxSGD的干扰抑制算法。首先,采用短时傅里叶变换将受干扰的雷达接收信号从时域转换至时频域,并基于一维恒虚警检测器沿各频率点检测干扰位置,通过幅度校正实现初步干扰抑制。然后,结合干扰信号的时域稀疏特性与目标回波的频域稀疏特性,利用近端次梯度下降法对残余干扰进行迭代优化处理,最终实现干扰信号的消除和信号的重构。为验证算法性能,通过软件平台进行了多目标多干扰源场景的数值仿真,并基于AWR1843毫米波雷达与DCA1000数据采集系统获取实测数据。实验结果表明,该算法能够有效抑制干扰信号且降低频域基底噪声,提高交通环境下毫米波雷达系统的目标探测能力。

       

      Abstract: Aiming at the problem of cross interference between automotive frequency modulated continuous wave radars, a interference mitigation method based on CFAR-ProxSGD is proposed in this paper. Firstly, the radar received signal with interference is converted to time-frequency domain by short-time Fourier transform. The one-dimensional CFAR detector along each frequency point is used to detect the interference position and the amplitude correction method is used to initially suppress the interference. Then, combining the time-domain sparsity of the interference signal and the frequency-domain sparsity of the target echo, the residual interference is iteratively optimized by using the proximal subgradient descent method, and the interference signal is ultimately eliminated and the signal is reconstructed. To verify the performance of the algorithm, numerical simulations in multi-target and multi-interference source scenarios were conducted on the software platform, and real measurement data were obtained based on the AWR1843 millimeter-wave radar and DCA1000 data acquisition system. The experimental results show that the proposed algorithm can effectively suppress the interference signal, reduce the frequency-domain background noise and improve the target detection capability of the millimeter-wave radar system in the traffic environment.

       

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