VSFLMS算法在毫米波汽车防撞雷达信号处理中的应用

Application of VSFLMS Algorithm in Millimeter-wave Automotive Anti-collision Radar

车辆的距离和速度信息包含在汽车防撞雷达的中频信号中,为了获得这些信息,必须对中频信号的实时频率进行检测,提出了一种新的自适应算法——基于快速傅立叶变换(FFT)的变步长最小均方误差(LMS)自适应滤波算法(VSFLMS)进行数据处理。为了测试这个算法的有效性,根据实际条件对算法进行了仿真测试,结果表明该算法的精度与效率得到显著提升。

Distance and speed of the vehicle information are included in the automotive anti-collision radar IF （Intermediate Frequency） signals. In order to obtain the information, real-time frequency must be tested in IF signals. A new adaptive algorithm has been proposed--the FFT-based variable step size LMS （Least Mean Square ） adaptive filtering algorithm （VSFLMS）. In order to test the effectiveness of this algorithm,the simulation of the algorithm has been tested based on the actual conditions. The results show that the accuracy and efficiency of the algorithm have been improved significantly.