传感器动态可靠性评估与证据折扣

摘要

In the Dempster-Shafer theory based target recognition fusion system, the sensor reliability evaluation and the evidence discount are the key problems for the combination of multisensor evidence using the Dempster's rule. A method for sensor dynamic reliability evaluation is proposed according to the conflict between the current sensor's output evidence and all sensors' averaged evidence. Then, using the idea of Dubois & Prade rule in conflict processing for reference, an evidence discounting rule is proposed, which distributes the discounting belief mass to the union set of conflicting focal elements according to the size of their local conflict respectively. Simulation and real data experiment results demonstrate the validity of the proposed scheme.%在基于Dempster-Shafer理论的融合目标识别系统中,传感器可靠性评估与证据折扣是应用Dempster组合规则进行多传感器证据组合的关键问题.提出了一种根据传感器当前输出证据与所有传感器平均证据之间的冲突来评估传感器动态可靠性的方法,借鉴冲突处理中Dubois&Prade规则的思想提出了一种证据折扣规则,该证据折扣规则将折扣量按局部冲突的大小分配给涉及各局部冲突的集合的并.仿真和实测数据实验验证了该方案的有效性.