激光漫反射测距回波信号在线提取方法

为解决激光漫反射测距实测数据噪点多，真实回波信号难以可靠在线提取问题，提出一种基于时间相关性的激光漫反射测距回波信号的快速提取方法。基于实测数据特性分析将回波信号提取问题简化为n 点搜索问题，并理论验证了基于时间相关性提取方法的正确性，通过权衡搜索代价与提取精度，给出n 点选取规则。给出短时数据线性度和相邻数据关联度作为时间相关性的具体评价指标，设计遗传算法对缓存数据与在线数据并行寻优，降低搜索时间并提高测距提取精度。中国科学院云南天文台实测数据提取结果表明，该方法对强噪声背景下的微弱回波信号有较强的快速提取能力，为激光漫反射测距回波信号在线提取提供可行思路。

Abstract

In order to realize the echo online extraction for diffuse reflection laser ranging when echo photons are blocked by a large amount of noise photons, an echo online extraction method based on time correlation is proposed for diffuse reflection laser ranging system. Based on the characteristics of time correlation for diffuse reflection laser ranging data, the extraction problem is simplified into n points searching problem. Next, the correctness of the extraction based on time correlation is verified. And the rules to select a proper n are given further through the trade-off between search cost and extraction accuracy. Then, the evaluation criteria for short-time linearity and adjacent similarity are given in detail. Finally, Genetic algorithm is adopted to realize parallel search for buffer data and online data, decreasing the search time as well as increasing the extraction accuracy of ranging data. The echo extraction for Yunnan Station′s experimental data show that the extraction method proposed has strong ability to extract echo signal from high noise background quickly, which provides a feasible way to realize the signal online extraction for diffuse reflection laser ranging.

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