| 基于WT和PSO的雷达脉内调制参数分析 |
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| 引用本文： | 盛鸿宇.基于WT和PSO的雷达脉内调制参数分析[J].贵阳金筑大学学报,2013(4):9-11,16. |
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| 作者姓名： | 盛鸿宇 |
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| 作者单位： | 北京联合大学计算机技术研究所,北京100101 |
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| 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.
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| 关 键 词： | 雷达脉内调制信号 WT PSO |
Analysis of Radar in-pulse modulation Parameters Based on WT and PSO |
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| SHENG Hong-yu.Analysis of Radar in-pulse modulation Parameters Based on WT and PSO[J].Journal of Jinzhu University of Guiyang,2013(4):9-11,16. |
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| Authors: | SHENG Hong-yu |
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| Institution: | SHENG Hong-yu (Beijing Union University, Beijing 100101,China) |
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| Abstract: | 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. |
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| Keywords: | Radar in - pulse modulation signals WT PSO |
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