复杂干扰环境下的分布式多传感器检测

Distributed Detection with Multisensor under Complicated Disturbing Environment

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 。

The complexity of various environmental disturbances should be considered in applied multisensor system, but the research of multisensor data fusion under complicated disturbing environment is not 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.