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为了提高激光通信信号的调制识别率,在分析传统方法基础上,提出了基于蜂群算法和支持向量机的激光信号调制识别方法。该方法首先提取激光通信信号调制识别的特征,并对特征进行预处理,减少对识别结果影响,然后采用支持向量机对激光通信信号调制方式进行模式识别,采用蜂群算法找到合理的支持向量机参数,最后在Matlab 2014平台上进行仿真测试与性能分析。结果表明,本文方法的激光通信信号调制识别率达以90%以上,显示出了良好的分类效果。
In order to improve the modulation recognition rate of laser communication signals, based on the analysis of the traditional methods, the modulation recognition method of laser signals based on the bee colony algorithm and support vector machine is proposed. Firstly, the feature of laser communication signal modulation recognition is extracted and the features are pre-processed to reduce the impact on the recognition results. Then, the support vector machine (SVM) is used to pattern recognition of the laser communication signal modulation mode, and a bee colony algorithm is used to find a reasonable support vector machine Parameters, and finally simulation test and performance analysis on Matlab 2014 platform. The results show that the recognition rate of laser communication signal modulation of this method reaches more than 90%, showing a good classification effect.