摘要
针对多尺度插值解耦方法的尺度特征计算和尺度阈值优化求解问题,提出了一种基于多尺度逼近的多维传感信息解耦方法.该方法通过函数多尺度逼近快速获取尺度特征,无需构建传感器的特征方程,根据尺度取值顺序确定尺度阈值和相应的插值方法,从而实现准确度目标下的快速解耦.仿真结果表明,尺度特征计算方法简单直接,当解耦的准确度目标为0.5%时,计算得到的尺度阈值为2-4,此时的最短解耦计算时间为80ms,解耦误差约为0.457 5%.
This paper deals with the scale feature calculation and the scale threshold optimization of multi-scale interpolation decoupling. A new approach to the decoupling of multi-dimension sensing information based on multiscale approximation is proposed. The multi-scale approximation of functions is used to rapidly acquire scale features without constructing any sensor eigenfunction, and the scale threshold and the corresponding interpolation methods are determined according to the scale order of sensing information, thus implementing a precise and rapid decoupling. Simulated results show that the proposed calculation method of scale features is simple and direct, and that, when the decoupling precision is set as 0. 5% , the calculated scale threshold reaches 2^-4, and the shortest deeoupling time for the threshold is 80ms, with a decoupling error of approximately 0. 4575%.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第4期86-89,110,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
广东省教育部产学研结合项目(2007A090302039)
广州市科技计划项目(2005Z3-D0341)
关键词
传感器
插值
解耦
多尺度逼近
尺度阈值
sensor
interpolation
decoupling
multi-scale approximation
scale threshold
