基于N-P准则的雷达网反隐身探测概率分析  

Performance Research of Radar Network Anti-Stealth Detection Probability on N-P Criterion

作　　者：师俊朋 胡国平[1] 

机构地区：[1]空军工程大学防空反导学院,陕西西安710051

出　　处：《现代防御技术》2015年第2期24-28,共5页Modern Defence Technology

摘　　要：提高雷达网的探测概率是改善雷达网反隐身性能的重要手段。在分析单部雷达探测概率的基础上,提出了一种基于Neyman-Pearson(N-P)准则的雷达网信号检测数据融合评估算法,算法利用数据融合原理构建了N-P探测模型,给出了基于迭代算法的最优检测概率和判决门限计算方法。仿真结果表明了系统反隐身的有效性和融合算法的优越性。To improvethe detection probability of radar network is an important means for the improvement of radar network anti-stealth performance. According to the analysis of single radar detection probability,a signal detection data fusion algorithm based on Neyman-Pearson（ N-P） criterion is proposed. And calculation methods of the best detection threshold based on Iteration Algorithm are given.Simulations are carried out and the results show that the novel system has better performance.

关 键 词：雷达反隐身 N-P准则 迭代算法 

分 类 号：TN953[电子电信—信号与信息处理]