摘要
针对目前数字滤波算法中存在对先验信息要求苛刻及定义数据间支持度中门限的预先设定问题,在基于测量方差加权算法基础上,引入相对距离和置信距离的思想对其次优融合估计结果进行改进。仿真结果直观地说明了该估计算法的有效性。
The influence of prior information strict demanded and the threshold of supporting degree of data presupposed is analysed on the algorithm of digital filter. An improved consensus data fusion algorithm is presented, and this algorithm induces relative distance and confidence distance on the basis of the variance of the measured error weight algorithm to improve suboptimal fusion result. Finally, the stimulation verifies the efficiency of this method.
出处
《传感器技术》
CSCD
北大核心
2005年第8期65-67,70,共4页
Journal of Transducer Technology
基金
国家自然科学基金资助项目(60272024)
河南省高校杰出科研人才创新工程项目(2003KYCX003)
关键词
数据融合
测量方差
相对距离
置信距离
data fusion
variance of measured error
relative distance
confidence distance
