机载雷达与红外搜索跟踪装置的航迹融合研究

Study on Track Fusion for Airborne Radar and Infrared Searching and Track System

在单机空对空多目标攻击武器系统中 ,发射出的导弹必须可靠地分辨并截获所指定的目标 ,这对目标探测装置的数据精度提出了相应的要求。为此 ,设计了机载火控雷达与红外搜索跟踪装置的航迹融合技术结构模型 ,其中航迹关联算法基于模式相似性测度分析 ,目标状态信息融合算法基于极大似然估计。为验证模型的有效性 ,以具体装备为背景进行了仿真研究与分析 。

Whether the air-to-air missiles (AAM) launched can acquire its targets is the key point in airborne multi-target attacking system (AMTAS). Accordingly, it demands the airborne sensors to output target data with high precision. To achieve this, a track fusion model is designed for airborne radar and infrared searching and tracking system (IRSTS) in this paper. For this model, two algorithms are developed,i. e. track association algorithm based on pattern similarity analysis and target state information fusion algorithm formulated by means of maximum likelihood method. To demonstrate the effectiveness of this model, simulations are carried out, and the results are promising.