一种辨别目标与拖曳式诱饵的融合贝叶斯模型  

A Kind of Muti-Bayesian Model in Distinguishing Target from TRAD

作　　者：崔凯 CUI Kai(Jiangsu University of Science and Technology,Zhenjiang 212003,China;The 723 Institute of CSIC,Yangzhou 225101,China)

机构地区：[1]江苏科技大学,江苏镇江212003 [2]中船重工集团第七二三研究所,江苏扬州225101

出　　处：《电光与控制》2020年第7期36-40,100,共6页Electronics Optics & Control

基　　金：国家自然科学基金(61871203)。

摘　　要：在当今电子战中,有源拖曳式诱饵能够在跟踪雷达的半功率波束内捕获其跟踪分辨单元,并将跟踪门从目标转移到诱饵上来。针对这一问题,雷达抗干扰中迫切需要一种在诱饵干扰下仍能正确识别目标的技术。在此状态下正确识别目标的前提是先要将目标与有源拖曳式诱饵分离。考虑到逻辑回归是基于线性回归的二分类器,因此利用逻辑回归概率模型,并以蒙特卡罗马尔可夫链(MCMC)为载体形成一种融合贝叶斯模型,能够达到很好的目标与诱饵分离效果。In current electronic war Towed Radar Active Decoy(TRAD)can capture the tracking resolution cell in the half-power beam of the radar and the tracking gate is transfered from the target to the decoy.Under this circumstance a new technology by which the target will be recognized correctly under the interference of decoy is in urgent need.The first step of realizing that is to separate the target from TRAD.Considering that the logistic regression model is a classification algorithm based on linear regression so by using the logistic regression probability model a new multi-Bayesian model based on MCMC is formed to separate the target from TRAD.

关 键 词：雷达目标识别 抗干扰 有源拖曳式诱饵 蒙特卡罗马尔可夫链 贝叶斯模型 

分 类 号：TN973[电子电信—信号与信息处理]