一种改进的脉冲激光测距算法

摘要

An improved algorithm for pulsed laser ranging was proposed in this paper .Waveform data of seed and echo laser sig‐nal were captured with a high‐speed AD converter .Pulses of seed and echo laser signals were superimposed as one signal onto which an autocorrelation operation was carried out later .As a result ,three spike pulses with strictly symmetrical waveforms were obtained .Gauss curve was used to fit the strictly symmetrical waveform signal .The target distance was determined by the phase difference between seed and echo laser signals ,and calculated according to the peak value of Gauss fitted curve .The simulation re‐sult based on the Matlab showed an error distance of 8mm at 100m under the 1 .25GHz sampling rate .Compared with other methods ,the improved algorithm had greater accuracy and better anti‐noise capability .%提出了一种改进的脉冲激光测距算法。通过高速AD获取种子光和返回光脉冲波形数据，将种子光脉冲和返回光脉冲叠加后进行自相关运算，得到波形严格对称的三尖峰脉冲，采用高斯曲线分段拟合该三尖峰脉冲，根据峰值求解出种子光脉冲和返回光脉冲的相位差，最终解算被测目标距离。基于Matlab工具仿真实验，结果表明：采用12．5GHz采样频率，100 m距离解算误差达8 mm。同其他方法相比，该算法精度高，抗噪声能力强。