电讯技术2016，Vol.56Issue(10)：1108-1111,4.DOI:10.3969/j.issn.1001-893x.2016.10.008
基于SVM的信号解调算法
A Signal Demodulation Algorithm Based on SVM
摘要
Abstract
The estimation error of synchronization parameters will worsen the demodulation performance, when the training data is limited and the signal-to-noise ratio( SNR) is relatively low. For this problem,by treating demodulation as a learning problem using limited data which can be solved efficiently by support vector machine( SVM) ,a signal demodulation algorithm based on SVM is presented,which can improve the receiving performance through reforming the classification ability. The simulations are carried out with Mat-lab to compare the receiving performance in different circumstances such as precise synchronization,syn-chronization error,white Gaussian noise,colored Gaussian noise. The results show that the proposed algo-rithm can efficiently overcome the influence of synchronization error and colored noise on demodulation per-formance.关键词
信号解调/支持向量机/相位误差/定时误差Key words
signal demodulation/support vector machine/phase error/timing error分类
信息技术与安全科学引用本文复制引用
滕晓云,徐俊,陈德明..基于SVM的信号解调算法[J].电讯技术,2016,56(10):1108-1111,4.基金项目
国家自然科学基金资助项目(61403421)Foundation Item:The National Natural Science Foundation of China(No.61403421) （61403421）
