现代电子技术2016，Vol.39Issue(24)：26-29,4.DOI:10.16652/j.issn.1004-373x.2016.24.007
基于改进SVM的通信干扰识别
Communication jamming recognition based on improved SVM
摘要
Abstract
The anti jamming algorithm of DSSS communication system can only restrain a type of interference,so it is neces⁃sary to identify all kinds of interference,so as to select the corresponding suppression algorithm. The recognition methods of communication jamming are studied in this paper. A communication jamming recognition model based on SVM algorithm is estab⁃lished. Since the properties of conventional SVM algorithm depend on parameter selection,and the parameter selection of the conventional SVM algorithm is selected by means of artificial experience,there are certain randomness and blindness. There⁃fore,genetic immune particle group optimization SVM algorithm is used in this paper to improve the performances of the algo⁃rithm and recognition model. Simulation study on the communication interference recognition model is conducted with Matlab. The results show that the the performance of the communication interference identification model established in this paper is su⁃perior to that of the conventional SVM algorithm and BP algorithm.关键词
通信干扰识别/直扩系统/支持向量机/粒子群优化算法Key words
communication interference recognition/direct spread system/support vector machine/particle swarm optimi-zation algorithm分类
信息技术与安全科学引用本文复制引用
李敏,李时东,黄欣..基于改进SVM的通信干扰识别[J].现代电子技术,2016,39(24):26-29,4.基金项目
国家自然科学基金基于不完全信息博奕的异构无线网络物理层安全 （）
