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基于差分自相关矩阵的激光脉冲编码识别 被引量:7

A Method for Decoding Laser-Pulse Series Based on Autocorrelation Matrix Statistic
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摘要 在分析了激光脉冲编码方式的基础上,提出基于自相关矩阵统计的激光脉冲编码识别方法:利用接收到的脉冲序列,构造一阶差分自相关矩阵和二阶差分自相关矩阵,分别对其进行直方图统计,根据直方图特点识别激光脉冲序列的编码方式,并解算出脉冲时间参数.通过仿真实验,验证算法的有效性,用计算机仿真生成不同类型的脉冲序列,并设定脉冲丢失概率和虚假脉冲概率,验证编码识别算法.实验证明该编码识别算法正确率高,实时性好,有较强的抗干扰脉冲能力. According to the analysis of laser-pulse encoding modes, a method to decode laser-pulse series based on autocorrelation matrix statistic is put forward. The received laser-pulse series are used for constructing first order difference autocorrelation matrix and second order difference autocorrelation matrix. The elements of the two autocorrelation matrixes are counted in histogram mode. The laser-pulse series encoding mode can be classified by the characteristic of the two histograms, the time parameter of the pulse can be calculated out. The validity of the algorithm is tested by emulating experiment. Different modes of encoding laser-pulse are generated, and the missing probability and false probability are set, then the laser-pulse series are decoded by the algorithm. The emulating experiment shows that the algorithm has high precision, good real-time and anti-interference performance.
机构地区 军械工程学院
出处 《光电技术应用》 2009年第4期10-12,共3页 Electro-Optic Technology Application
关键词 激光 编码识别 差分自相关矩阵 直方图统计 laser decoding difference autocorrelation matrix histogram
作者简介 应家驹(1980-),男,博士研究生,主要研究方向为光电信息处理。
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