CAJ | 학술논문

实用多传感器系统应考虑各种环境干扰的复杂性,然而复杂干扰环境下多传感器数据融合的研究是目前尚未开展的领域.为此,本文首先建立了复杂干扰环境下多传感器系统的马尔可夫模型,给出了状态转移图和状态概率,并根据该模型推导出复杂干扰环境下多传感器融合检测的四种判决方法.最后给出了仿真结果,并分析了检测概率和虚警概率.
실용다전감기계통응고필각충배경간우적복잡성,연이복잡간우배경하다전감기수거융합적연구시목전상미개전적영역.위차,본문수선건립료복잡간우배경하다전감기계통적마이가부모형,급출료상태전이도화상태개솔,병근거해모형추도출복잡간우배경하다전감기융합검측적사충판결방법.최후급출료방진결과,병분석료검측개솔화허경개솔.
The complexity of various environmental disturbances should be considered in applied multisensor systems, but the research of multisensor data fusion under complicated disturbing environment has not been carried out yet.So,this paper presents a Markov model of multisensor system under complicated disturbing environment,and provide state transition diagram and state probability.According to this model,four decision rules of multisensor fusion detection under complicated disturbing environment are deduced.Furthermore,the paper provides simulation results,and analyses detection probability and false probability.