激光雷达光束的区域特征匹配识别方法
Regional Feature Matching Recognition Method for Lidar Beam

针对超远距离多功能激光雷达光束搜索识别的需求，本文基于超远距离多功能激光雷达工作原理，以识别区域激光光束特征代替传统单点式激光信号识别的思路，提出激光光束区域特征匹配识别的方法，在分析激光雷达脉冲激光光束能量分布理论的基础上，构建常用脉冲激光光束时间序列上的能量区域分布模型，选用综合距离和方向的修正余弦相似度的方法，计算采集到的对端激光光束能量区域分布与各个能量区域分布模型的匹配相似度。仿真结果及试验结果均表明，激光雷达光束的区域特征匹配识别方法与理论设想一致，可以有效识别激光光束能量分布区域特征，通常可在一个扫描周期完成对端激光光束的搜索、识别和锁定，为大范围快速搜索提供技术支撑。
Aiming at the requirement of ultra-long range multi-functional lidar beam search and recognition, based on the working principle of ultra-long range multi-functional lidar, this paper proposes the matching and recognition method of laser beam regional features to replace the traditional single-point laser signal recognition. On the basis of analyzing the lidar pulse laser beam energy distribution theory, The energy region distribution model of common pulsed laser beam time series is constructed, and the matching similarity between the energy region distribution of the opposite laser beam and each energy region distribution model is calculated by using the modified cosine similarity method combining distance and direction. The simulation results and experimental results show that the regional feature matching recognition method of lidar beam is consistent with the theoretical assumption, and can effectively identify the regional features of laser beam energy distribution, and can usually complete the search, identification and locking of the opposite laser beam in one scan cycle, providing technical support for a large range of fast search.