火力与指挥控制Issue(10)：98-103,6.
一种基于隐马尔科夫模型的雷达辐射源识别算法
A Radar Emitter Recognition Algorithm Based on Hidden Markov Models
摘要
Abstract
Aiming at the problem that modern radars use complex PRI modulation types which make them can’t be accurately recognized,this article puts forward a recognition method for radar emitters with complex PRI modulation types based on Hidden Markov Models. The method issues transforms the problem foregoing into a problem of recognition for specific code sequences with classification characteristics,modeling it as Hidden Markov Models by employing symbolic time series analysis theory of symbolic dynamics,and realizing the accurate recognition for emitters with such complex PRI modulation types as PRI jitter,pseudo random coded,etc. Simulation results demonstrate that the method issued possesses good recognition capability even when PRI values of different emitters exist partial overlap.关键词
雷达辐射源/识别/隐马尔科夫模型Key words
radar emitter/recognition/hidden markov models分类
信息技术与安全科学引用本文复制引用
关一夫,张国毅..一种基于隐马尔科夫模型的雷达辐射源识别算法[J].火力与指挥控制,2015,(10):98-103,6.
