摘要
基于最小二乘法的基本原理和Moore-Penrose广义逆矩阵的基本性质,讨论了一种重构多功能传感器被测信号的方法——向上查表法(LUT)。该算法可以用来解决三元被测量的重构问题,并考虑了测量矩阵的数据病态可能性。为了证明算法的有效性,建立了多功能传感器模型电路并给出算法应用的理论推导、实验结果和重构误差分析。
It discusses a novel algorithm in signal reconstruction for multi-functional sensorsLook Up Table(LUT),which is based on least square method and the reverse function of Moore-Penrose Matrix. The proposed method is capable of measurand reconstruction of three variables, and is immune to morbidity of data matrix. In order to validate this arithmetic, emulation circuits are put forward together with the theories analysis, as well as the experiment results and error analysis.
出处
《电工技术学报》
EI
CSCD
北大核心
2004年第4期76-80,共5页
Transactions of China Electrotechnical Society
基金
国家自然科学基金资助项目(60372005)
关键词
多功能传感器
最小二乘法
信号重构
Multi-functional sensing,least-squares methods,signal reconstruction