摘要
提出了一种空间数据融合算法,该算法综合了插值逼近和平方逼近两种逼近的特点,一方面保持了平方逼近的有效逼近概念的基础上降低了运算复杂度,另一方面克服了插值逼近高阶波动等缺点,从而可以在多信息采集点的情况下快速得到一个多项式函数来描述采集量在整个测量区间内的变化规律。经过在火烧油层温度场温度分布计算的实践证明其是一种实时、有效的逼近算法。最后对算法做了进一步的性能分析。
?An algorithm of space data fusion is introduced. The algorithm integrates the advantages of the interpolation approach and the square approach.With the algorithm, the problem of the oscillation of the highorder curve is solved,and the calculation complexity is reduced.Thereby,a polynomial function is gained to describe the change rules of parameter in the whole measurement area under the condition of multisensor.The algorithm in this paper is proved to be realtime and effective through the application in temperature field analysis for experimental model studying oildrilling methods.In the end of the paper,the performance of the algorithm is analyzed.
出处
《传感器技术》
CSCD
北大核心
2002年第9期59-61,共3页
Journal of Transducer Technology
关键词
数据融合
插值逼近
平方逼近
插值算法
data fusion
interpolation approach
square approach
interpolation algorithm
作者简介
杜宇健(1974-)，男,山西左权人,清华大学自动化系博士生.研究方向是多传感器的空间数据融合。
