Maximum entropy spectral estimation and LMS adaptive algorithm were proposed to extract the reflection echo signal of laser ranging system.
提出了最大熵谱估计和LMS自适应算法提取激光测距系统的反射回波信号。
Abstract: Analysis of echo photons' characteristics in laser ranging system is of great significance for laser ranging theory, system design as well as performance evaluation.
摘要：激光测距系统回波光子特性分析对激光测距理论研究、系统设计以及性能评估具有重要意义。
Finally, an echo simulating model is built for the laser ranging system of a real self-propelled AA gun, and is investigated by using SCTROF. The results show that SCTROF is effective.
并以一个实际自行高炮的激光测距系统为原型，建立了其回波仿真模型，用SCTROF对此仿真模型进行了研究，结果表明，该理论是有效的。
Simluation results show that the maximum entropy spectral estimation and LMS adaptive algorithm can extract echo signal of laser ranging system effectively from background noises.
仿真分析表明，最大熵谱估计和LMS自适应算法相结合可以有效地从背景噪声中提取有用的激光反射回波信号。
Simluation results show that the maximum entropy spectral estimation and LMS adaptive algorithm can extract echo signal of laser ranging system effectively from background noises.
仿真分析表明，最大熵谱估计和LMS自适应算法相结合可以有效地从背景噪声中提取有用的激光反射回波信号。
应用推荐