毫米波LFMCW雷达测距关键算法研究

The Key Ranging Algorithm for Millimeter Wave LFMCW Radar

为提高三角波调制的LFMCW体制雷达测距精度,本文研究了Rife算法和幅相联合内插算法的频率估计性能,并针对Rife算法在量化频率点附近时的估计误差较大这一缺点,提出了一种综合方法。在Rife算法粗估计的基础上确定估计频率的范围,当待估计频率在量化频率点之间时直接使用Rife算法,而在量化频率点附近时用幅相联合内插算法进行修正。最后利用计算机进行了仿真,并在线性调频连续波雷达实验平台进行现场测距验证,证明了综合算法的应用可将系统的测距误差缩小到0.5m范围以内,提高了该雷达系统的测距性能。

In order to improve the ranging accuracy of triangular wave modulated LFMCW radar,this paper studies the performance of Rife algorithm and amplitude and phase combined interpolation algorithm.Against to that when the signal frequency is much close to the quantized frequency point,the precision of Rife algorithm decreases,a kind of synthetic algorithm is proposed.Firstly,Rife algorithm is used for a rough estimate.When the frequency to be estimated is close to the center of two neighboring quantized frequency points,we use Rife algorithm directly; and when the frequency is close to the quantized frequency point,we use the amplitude and phase combined interpolation algorithm to correct.Finally,the computer simulation is conducted,and a linear frequency modulated continuous wave radar ranging experiment platform is used for verification.The results verified that synthesized algorithm system ranging error can be reduced to within the range of 0.5 m,which improves the measurement performance of the radar system.