摘要
本文提出了能充分利用两维测量信息的两维卡尔曼滤波方法,讨论了参数选择和进行两维实时处理的快速算法。对于蒽、芘和菲的混合物,利用两维卡尔曼滤波处理荧光激发——发射光谱预报组份浓度,预报相对误差均小于8.6%,平均相对误差为4.31%。
An algortihm of two-dimensional Kalman filter using information of two-dimensional measurod response to ostimate the state vector is propcsed. The choise of parameters is discussed and a fast algorithm is described for two-dimensional real-time procedure. For anthracene, pyrene and phenanthrene mixtures, the two-dimensional Kalman filter was carricd out for simultaneous determination of the concentrations of the components by fluorescent cxcitation-cmission spcctra. The predicted relative error was less than 8.6%, and the average error was 4.3%.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
1992年第8期898-901,共4页
Chinese Journal of Analytical Chemistry
基金
国家自然科学基金
关键词
卡尔曼滤波
荧光光谱
二维
Two-dimensional Kalman filter
Fluorescent spectra.