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针对多传感器系统中的协同决策问题,先对传感器节点的可靠性进行了分析和建模,从不同传感器节点的信息处理结果之间相互支持和节点自身历史表现2个方面,得到影响传感器节点可信度的2组参数;然后在D-S证据理论相关研究的基础上提出一种协同决策算法,并采用蒙特卡罗方法对协同决策算法进行了仿真验证.仿真结果表明:协同决策算法的平均决策正确率比现有算法提高了2.0%～10.8%,并且在证据严重冲突的情况下能获得比其他方法更好的决策效果.
In order to solve the problem of cooperative decision in multi-sensor system, the reliability of sensor nodes is firstly analyzed and modeled. From the two aspects of information processing results of different sensor nodes and the historical performance of nodes themselves, Then, a collaborative decision-making algorithm based on DS evidence theory is proposed and the Monte Carlo method is used to simulate the collaborative decision-making algorithm.The simulation results show that the average decision of the collaborative decision-making algorithm is correct The rate is 2.0% ~ 10.8% higher than the existing ones, and the better decision-making effect than other methods can be obtained under the condition of serious evidence conflict.