基于检测概率的雷达组网反隐身建模与仿真

doi:10.16182/j.issn1004731x.joss.201712022

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (12): 3100-3106.doi: 10.16182/j.issn1004731x.joss.201712022

基于检测概率的雷达组网反隐身建模与仿真

陈彬, 童创明, 李西敏

空军工程大学,西安 710051

收稿日期:2015-11-13 发布日期:2020-06-06
作者简介:陈彬(1992-),男,江苏新沂,硕士,研究方向为雷达目标特性;童创明(1964-),男,湖北黄冈,博士,教授,博导,研究方向为复杂目标与环境复合电磁散射特性。
基金资助:
国家自然科学基金(61372033)

Modeling and Simulation of Radar Networking Anti-stealth Based on the Detection Probability

Chen Bin, Tong Chuangming, Li Ximin

Air Force Engineering University, Xi'an 710051, China

Received:2015-11-13 Published:2020-06-06

摘要/Abstract

摘要： 针对隐身飞机突防对抗雷达网的应用背景,以雷达网检测概率为评价指标,建立了应用于雷达网反隐身飞机的探测效果评估模型。首先基于典型隐身飞机雷达散射截面(RCS)起伏数据,分析了其与虚警概率、发现概率和信噪比等参数间的关系。并应用秩K融合算法,计算了雷达网的综合检测概率,提出了评估反隐身性能的方法。然后采用物理光学和等效电磁流法,分析了典型隐身目标的雷达散射截面积。并结合区域剖分方法,解算了等边三角形、正方形布站方式下雷达网对隐身目标的综合检测概率,从而甄选最优雷达布站方式和基线距离。理论分析与仿真结果验证了优化雷达网布站的应用性和可行性。

关键词: 隐身目标, 检测概率, 雷达网, 效能评估

Abstract: For the scene of stealth target penetration against radar network, an evaluation model of detection effectiveness is established by taking the detection probability of the netted radar as an evaluation index. Based on the target's Radar Cross Section (RCS) data, the relationships among the false alarm probability, detection probability and signal to noise ratio are analyzed. A method using signal detection probability of the radar network is proposed with the Rank “K” principle of the fusion center. The RCS of stealth target is analyzed utilizing physical optics and method of equivalent currents. The detection probability of radar network under equilateral triangle and square position is resolved respectively combined with the divided region. The optimal configuration and baseline distance are selected. Theoretical analysis and simulation results prove the applicability and feasibility of proposed configuration.

Key words: stealth target, detection probability, radar network, effectiveness' evaluation

中图分类号:

TN953

陈彬, 童创明, 李西敏. 基于检测概率的雷达组网反隐身建模与仿真[J]. 系统仿真学报, 2017, 29(12): 3100-3106.

Chen Bin, Tong Chuangming, Li Ximin. Modeling and Simulation of Radar Networking Anti-stealth Based on the Detection Probability[J]. Journal of System Simulation, 2017, 29(12): 3100-3106.

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基于检测概率的雷达组网反隐身建模与仿真

Modeling and Simulation of Radar Networking Anti-stealth Based on the Detection Probability

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