摘要
针对序列类数据不能直接与区间类数据进行关联的问题,提出了基于频率分布函数的序列、区间异类数据关联算法。对序列类数据进行频数计算形成频率分布函数,利用检测门限进行频数点检测,将通过检测的频数点作为区间中点,计算每个频数点的初始方差形成区间端点,最后形成一组区间,实现了利用区间数据表示序列类数据的目的。再根据区间多属性关联的方法计算区间关联度,以关联度作为指标进行数据关联。仿真实验验证了该算法对序列、区间异类数据关联的有效性,得到了满意的关联结果。
An asynchronous data association algorithm based on frequency distribution function for se-quence and interval data is proposed to solve the problem that the sequence data and the interval data could not be associated directly.This algorithm counts the possible values of the sequence data approximately and forms the frequency distribution function.Then the possible values are detected with the threshold and the values which satisfies the threshold are selected as the middle point of the interval.The variance is computed as the distance between the middle point and the interval endpoint.In this way,the sequence data can be ex-pressed by the interval number,achieving the asynchronous data homotype.Finally,the degree of interval association is calculated according to the multi-attribute interval association method,which can be used as the index for association.Simulation experiments show that the proposed algorithm can associate the sequence data and the interval data effectively and get the satisfied association result.
出处
《雷达科学与技术》
2014年第6期613-618,共6页
Radar Science and Technology
基金
国家自然科学基金(No.61032001)
教育部新世纪优秀人才支持计划(No.NCET-11-0872)
关键词
数据关联
频率分布函数
序列数据
区间数
data association
frequency distribution function
sequence data
interval number
