基于贝叶斯的多功能雷达脉冲列变化点检测  

Multi-Function Radar Pulse Sequence Change Point Detection Based on Bayesian Criterion

作　　者：方旖 陈秋菊 潘继飞 毕大平[1] FNAG Yi;CHEN Qiu-Ju;PAN Ji-Fei;BI Da-Ping(Institute of Electronic Countermeasure,National University of Defence Technology,Hefei Anhui 230037,China;Laboratory of Electronic Countermeasure Information Processing,National University of Defence Technology,Hefei Anhui 230037,China)

机构地区：[1]国防科技大学电子对抗学院,安徽合肥230037 [2]电子对抗信息处理实验室,安徽合肥230037

出　　处：《指挥与控制学报》2019年第4期308-315,共8页Journal of Command and Control

摘　　要：针对多功能相控阵雷达行为识别问题,提出了一种基于定长滑动窗的迭代检测算法.提取了频率、脉宽、脉冲幅度、脉冲重复间隔和波束方向等特征参数,通过滑动合适的定长窗口来划分脉冲序列,根据贝叶斯准则逐步计算条件概率,并将概率结果与之前的概率进行比较,确定是否为变化点.该方法可应用于无先验知识的雷达行为识别问题.仿真结果表明了该方法的有效性.An iterative detection algorithm,based on fixed length sliding window,is proposed for multi-function phased array radar(MPAR)behavior recognition.First,characteristic parameters such as frequency,pulse width,pulse amplitude,pulse repetition interval and beam orientation are extracted.Then the pulse sequence is divided by sliding the appropriate fixed-length window.Finally,the conditional probability is calculated step by step based on Bayesian criterion,and the probability result is compared with the previous probability to determine whether it is a change point.This approach can be applied to the problem of radar behavior recognition without prior knowledge.The effectiveness of the proposed the approach is demonstrated by simulation results.

关 键 词：多功能相控阵雷达 脉冲序列解析 变化点检测 滑动窗口 

分 类 号：TN9[电子电信—信息与通信工程]