| 基于粒子群支持向量机的通信信号调制识别算法 |
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| 引用本文： | 王玉娥,张天骐,白娟,包锐.基于粒子群支持向量机的通信信号调制识别算法[J].电视技术,2011,35(23):106-110. |
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| 作者姓名： | 王玉娥 张天骐 白娟 包锐 |
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| 作者单位： | 重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065 |
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| 基金项目： | 国家自然科学基金，国家自然科学基金一中物院NSAF联合基金，教育部新世纪优秀人才支持计划，信号与信息处理重庆市市级重点实验室建设项目，重庆市自然科学基金 |
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| 摘 要： | 为了解决大部分通信信号调制识别方法计算量大和分类器训练困难问题,提出一种基于粒子群(PSO)支持向量机(SVM)的调制识别方法.将小波理论与调制信号的瞬时特征、高阶累积量以及分形理论相结合,得到一种混合模式特征向量,并利用粒子群支持向量机对2ASK,4ASK,2PSK,4PSK,8PSK,2FSK,4FSK,8FSK,...
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| 关 键 词： | 粒子群优化 支持向量机 调制识别 |
Modulation Identification Algorithms for Communication Signals Based on Particle Swarm Optimization and Support Vector Machines |
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| WANG Yu'e,ZHANG Tianqi,BAI Juan,BAO Rui.Modulation Identification Algorithms for Communication Signals Based on Particle Swarm Optimization and Support Vector Machines[J].Tv Engineering,2011,35(23):106-110. |
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| Authors: | WANG Yu'e ZHANG Tianqi BAI Juan BAO Rui |
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| Affiliation: | (Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
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| Abstract: | To solve the problems of most communication signals modulation recognition methodscomputational complexity and classifier training difficulties,a method of modulation recognition is proposed based on Particle Swarm Optimization(PSO) and Support Vector Machine(SVM).Combined wavelet theory with the modulated signals instantaneous characteristics,high-order cumulants and fractal theory to obtain an hybrid model of feature vector,and use PSO and SVM to identify ten kinds of modulation signals as 2ASK,4ASK,2PSK,4PSK,8PSK,2FSK,4FSK,8FSK,16QAM and MSK.The simulation results show that the success rate is over 98% when SNR over 5 dB. |
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| Keywords: | particle swarm optimization support vector machines modulation identification |
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