摘要
雷达脉内调制信号分析是实现雷达辐射源信号识别的一个重要手段,雷达脉内调制信号是典型的非平稳信号,需采用非平稳信号处理方法进行分析。小波变换是处理非平稳信号的有力工具,可用来对脉内信号进行分析,但需要搜索算法搜索变换后的小波脊线。因此,在对调制信号进行小波变换后,采用微粒群优化算法搜索小波脊线。通过计算机仿真,结果表明利用小波变换和微粒群优化算法可对雷达脉内调制信号进行参数分析与提取,小波变换分析方法是有效的、合理的。
Analysis of radar in - pulse modulation signals is important method of radar emitter signal recognition, and ra- dar in - pulse modulation signals are typically non - stationary signals and analyzed with the processing methods of non - stationary signal. Wavelet Transform is a useful method and can often be applied to analyze radar in - pulse modulation signals, but search algorithm must be used to search wavelet ridge. So Particle Swarm Optimization algorithm is used to search wavelet ridge after wavelet transform of the modulation signals. From computer simulation the results indicate that Wavelet Transform combined with Particle Swarm Optimization algorithm can analyze radar in - pulse modulation signals, all which shows this method is effective and feasible.
出处
《贵阳学院学报(自然科学版)》
2013年第4期9-11,16,共4页
Journal of Guiyang University:Natural Sciences