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

作　　者：关一夫[1] 张国毅[1] 

机构地区：[1]空军航空大学,长春130022

出　　处：《火力与指挥控制》2015年第10期98-103,共6页Fire Control & Command Control

摘　　要：针对现代雷达采用复杂的PRI样式不能对其进行准确识别的问题,提出一种基于隐马尔科夫模型的复杂体制雷达辐射源识别算法。该算法将具有复杂PRI样式辐射源识别问题转化为对具有分类特征的码序列的识别问题,通过运用符号动力学中符号时间序列分析(symbolic time series analysis)理论,将上述码序列识别问题建模为隐马尔科夫模型予以解决,实现了对具有PRI抖动、伪随机编码等复杂PRI调制样式雷达辐射源的准确识别。仿真结果证明算法在PRI值有部分重叠的情况下仍具有很好的识别能力。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 

分 类 号：TN971[电子电信—信号与信息处理]