激光与光电子学进展, 2016, 53 (10): 101402, 网络出版: 2016-10-12
基于激光测距系统的滤波算法研究 
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Research on Filtering Algorithm Based on Laser Ranging System
激光光学 激光测距 精确度 卡尔曼滤波 最小均方差滤波 laser optics laser ranging accuracy Kalman filtering least mean square filtering
摘要
针对脉冲型半导体激光测距系统，提出了一种卡尔曼滤波与最小均方差滤波相结合的非线性滤波算法，对测距系统的回波信号进行滤波分析。结果表明，采用所提出的非线性滤波算法对实验数据进行处理，可将精度最高提高2.1 m，同时使误差降低65.63%。
Abstract
A nonlinear filtering algorithm based on the combination of Kalman filtering and minimum mean square error filtering is proposed for the pulsed semiconductor laser ranging system, and the echo signal of ranging system is filtered and analyzed. The results show that the accuracy can be improved to 2.1 m, and the error reduces by 65.63% when using the proposed nonlinear filtering algorithm to deal with the experimental data.
王丹, 赵鑫, 邹永刚, 马晓辉, 李洋, 王卫鹏. 基于激光测距系统的滤波算法研究[J]. 激光与光电子学进展, 2016, 53(10): 101402. Wang Dan, Zhao Xin, Zou Yonggang, Ma Xiaohui, Li Yang, Wang Weipeng. Research on Filtering Algorithm Based on Laser Ranging System[J]. Laser & Optoelectronics Progress, 2016, 53(10): 101402.
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