贝叶斯网络目标身份识别仿真研究

Simulation of Target Identification by Bayesian Network

根据目标的多传感器特征,构造贝叶斯网络拓扑结构,分析空中目标识别推理规则,实现了对空中目标平台类型和身份的估计。仿真结果表明贝叶斯网络的目标识别方法能够实时地自动获取目标属性,达到一定的正确识别率。

Based on the study of the target feature of multi-sensors, the topological structure of Bayesian network is formed up. The reasoning rule of airborne target recognition is analyzed. By doing so, it is feasible to estimate airborne target platform type and target identification. And the result indicates that the method based on Bayesian network can estimate target attributes automatically in real time with a certain degree of accuracy.