计算机工程与应用Issue(20)：86-90,5.DOI:10.3778/j.issn.1002-8331.1401-0273
基于LMS算法的多传感器数据加权融合方法
Multi-sensor weighted data fusion method using LMS algorithm
陈咨余 1张新伟 1叶凌云1
作者信息
- 1. 浙江大学 生物医学工程与仪器科学学院，杭州 310027
- 折叠
摘要
Abstract
For the optimal weighed fusion of multi-sensor data with the variance of the observation error is unknown and variant, this paper presents a new multi-sensor weighed data fusion method based on LMS(Leanest Mean Square)algo-rithm. This method converts the optimal weighed fusion of multi-sensor data to the optimal solution search on the perfor-mance surface of mean square error of estimated value. Adaptive LMS algorithm is applied to adjust the weighting coeffi-cient of sensor. Simulation results show the effectiveness of this method.关键词
多传感器/数据融合/自适应Key words
multi-sensor/data fusion/adaptive分类
信息技术与安全科学引用本文复制引用
陈咨余,张新伟,叶凌云..基于LMS算法的多传感器数据加权融合方法[J].计算机工程与应用,2014,(20):86-90,5.
