基于改进置信距离的多传感器一致性校验

Consistency validation for multi-sensor based on an improved confidence distance

针对置信距离不对称,最大一致传感器组求取的算法复杂,数据分析量大的问题,文章基于对称置信距离,对一致性关系矩阵中的元素预处理,从而简化矩阵,按照可能性从大到小的顺序,依次寻找最大一致传感器组。实验结果表明,该方法可行性高,算法时间复杂度降低,运算效率高。

Aiming at the asymmetric confidence distance, the complexity of calculating the biggest consistent sensor groups, and a large amount of data analysis problems, a method based on symmetric confidence distance is proposed. It simplifies the relation matrix, and find maximal consistent sensor groups according to possibility. The experimental results show that this method is of high feasibility and high operation efficiency.