煤矿井下巷道中RSS指纹数据快速生成方法

基金项目:

国家自然科学基金资助项目（61379100，51574232）

详细信息

Rapid generation method of RSS fingerprint data in underground roadway

1.
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
2.
Foundation Department Computer Science Teaching and Research Section, Air Force L

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。
- 煤矿井下巷道 /
- RSS指纹数据 /
- Kriging插值算法 /
- 指纹数据库
Abstract: 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 through Kriging interpolation algorithm. The experimental result shows that the RSS fingerprint data obtained by the method are accurate and location error is low.
- underground roadway /
- RSS fingerprint data /
- Kriging interpolation algorithm /
- fingerprint database