摘要
针对煤矿井下巷道中传统逐点采集RSS指纹数据效率低的问题,提出了一种基于Kriging插值算法的RSS指纹数据快速生成方法。该方法在已知少量观测点的RSS指纹数据情况下,根据实验变差函数拟合出理论变差函数,然后在无偏估计和最小估计方差的条件下求解Kriging插值算法的权重系数,计算待估点的RSS指纹数据。实验结果表明,利用该方法得到的RSS指纹数据准确性高,定位误差小。
In view of problem of low efficiency of traditional sampling of RSS fingerprint data point by point in underground roadway, a rapid generation method of RSS fingerprint data based on Kriging interpolation algorithm was proposed. Firstly, theory variogram is obtained by fitting experiment variogram with RSS fingerprint data of a few observation points. Then weight coefficient of Kriging interpolation algorithm is gotten under the condition of unbiased estimation and the minimum estimation variance. Finally, RSS fingerprint data of estimation points are calculated algorithm. The experimental result shows that the RSS fingerprint data accurate and location error is low. through Kriging interpolation obtained by the method are
出处
《工矿自动化》
北大核心
2016年第3期36-39,共4页
Journal Of Mine Automation
基金
国家自然科学基金资助项目(61379100
51574232)
