空军预警学院学报Issue(1)：38-42,5.DOI:10.3969/j.issn.2095-5839.2015.01.010
基于支持向量机分类器的数据链信号调制方式识别
Modulation recognition of data link signals based on classifier of support vector machine
摘要
Abstract
In consideration of modulation recognition technology of communication signals playing an important role in non-cooperative communications, and for the modulation systems (MSK, BPSK, QPSK, OQPSK,π/4-DQPSK and 8PSK) used for US army data link including Link-11, Link-16, Link-22 and CDL, this paper analyzes the extraction of characteristic parameters on square spectrum, high-order cumulant, quartic spectrum, symbol rate and etc. of various modulation signals under the condition of aeronautical channel. And then it carries out the modulation recognition of six types of data link signals using the classifier of support vector machine (SVM), and optimizes the classifier parameters of SVM by utilizing the particle swarm optimization (PSO) algorithm. Simulation results show that SVM classifier can improve the whole recognition rate under the condition of low SNR, compared with the decision tree classifier, and decrease the blindness for selection of SVM classifier parameters by using the POS algorithm.关键词
数据链/调制方式识别/特征参数/支持向量机/粒子群算法Key words
data link/modulation recognition/characteristic parameters/support vector machine (SVM)/particle swarm optimization (PSO) algorithm分类
信息技术与安全科学引用本文复制引用
甘新泰,程伟,杨瑞娟,张泽君..基于支持向量机分类器的数据链信号调制方式识别[J].空军预警学院学报,2015,(1):38-42,5.
