计算机工程2011，Vol.37Issue(11)：97-99,3.DOI:10.3969/j.issn.1000.3842.2011.11.033
改进的动态加权多传感器数据融合算法
Improved Dynamic Weighted Multi-sensors Data Fusion Algorithm
摘要
Abstract
In the case of multi-sensors measurement of many times on some characteristic index, a new fusion method is proposed.A membership function in fuzzy set is used to measure the mutual support degree of observation values, and the integrated support degree of data from various sensors is measured through an augmented support degree matrix.According to this augmented matrix's maximum modulus eigenvectors,corresponding weight coefficients of all the observation values are allocated, hence, the final expression of data fusion is obtained.An example and a simulation are used to compare the proposed method with another two similar fusion methods.Result shows that this method has both higher precision and strong ability of stableness.关键词
多传感器/数据融合/扩维矩阵/支持度Key words
multi-sensors/ data fusion/ augmented dimensional matrix/ support degree分类
信息技术与安全科学引用本文复制引用
杨佳,宫峰勋..改进的动态加权多传感器数据融合算法[J].计算机工程,2011,37(11):97-99,3.基金项目
国家自然科学基金资助项目(60672172) （60672172）
中央高校基本科研基金资助项目(ZXH2009C007) （ZXH2009C007）
中国民航大学科研基金资助项目(08CAUC_E04) （08CAUC_E04）
