计算机与现代化Issue(10)：34-37,4.DOI:10.3969/j.issn.1006-2475.2012.10.010
基于刀切法与自适应加权的多传感器信息融合算法
Multi-sensor Information Fusion Algorithm Based on Jackknife and Adaptive Weighted
谢振南 1杨宜民1
作者信息
- 1. 广东工业大学自动化学院,广东广州510006
- 折叠
摘要
Abstract
Aimed at the existence of noise in congeneric multi-sensor measurement, the weighted average, the optimal weighting, and the adaptive weighted method of data fusion are used, respective advantages and disadvantages are judged from the simulation result. According to the simulation results, Jackknife and adaptive weighted method of combining data fusion method is proposed, and the Jackknife Queniuille is used estimated respectively from two aspects of the weighting coefficient and the estimated value. The experimental results show that, after this new method's used, the accuracy and robustness of its data processing is superior to ordinary processing method' s.关键词
信息融合/多传感器/刀切法/加权Key words
information fusion/ multi-sensor/ Jackknife/ weighted分类
信息技术与安全科学引用本文复制引用
谢振南,杨宜民..基于刀切法与自适应加权的多传感器信息融合算法[J].计算机与现代化,2012,(10):34-37,4.
