摘要
受时变色散信道及多径效应的影响,短波通信协议的识别存在截获信号质量差、单一特征识别准确率低等问题。提出了协议特征向量和自熵,设计了一种具有自适应学习能力的协议识别模型和相应的识别算法,最后给出了参数寻优结果以及识别准确率分析。本文的工作为短波通信协议识别技术的应用提供了重要参考。
Because of time-varying dispersion and multi-path propagation, the acquired signal for high fre- quency （HF） communication is inferior. Thus the protocol features for HF communication standards are hard to obtain. A novel protocol model for HF communication is proposed by employing protocol feature vector and defi- ning self-entropy. An adaptive recognition algorithm is proposed thereupon. Simulation results, like the param- eter optimization results and the recognition accuracies, are demonstrated. It is shown that the proposed method can be adopted in other peer works as well.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2013年第6期1307-1311,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(61163060
61261034)
广西区基金重点项目(2011GXSFD1802)资助课题
关键词
短波通信
协议识别
支持向量机
shortwave communieation
protocol recognition
support vector machine （SVM）
