Ezpeleta Santiago, Claver José M, Pérez-Solano Juan J, Martí José V
Departament d'Informàtica, Universitat de València, Avd. de la Universitat, Burjassot 46100, Spain.
Department of Computer Science and Engineering, Universitat Jaume I, Campus Riu Sec, Castellón 12071, Spain.
Sensors (Basel). 2015 Oct 27;15(10):27322-40. doi: 10.3390/s151027322.
Indoor RF-based localization using fingerprint mapping requires an initial training step, which represents a time consuming process. This location methodology needs a database conformed with RSSI (Radio Signal Strength Indicator) measures from the communication transceivers taken at specific locations within the localization area. But, the real world localization environment is dynamic and it is necessary to rebuild the fingerprint database when some environmental changes are made. This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. Also, different distributions of test maps and reference points have been evaluated, showing the validity of this proposal and necessary trade-offs. Results reported show that the same or similar localization accuracy can be achieved even when only 50% of the initial fingerprint reference points are taken.
基于室内射频的指纹地图定位需要一个初始训练步骤，这是一个耗时的过程。这种定位方法需要一个数据库，该数据库要与在定位区域内特定位置采集的通信收发器的RSSI（无线电信号强度指示）测量值相匹配。但是，现实世界中的定位环境是动态的，当环境发生一些变化时，有必要重建指纹数据库。本文探讨了使用不同的插值函数来完成实现所需精度所需的指纹映射，从而减少训练步骤中的工作量。此外，还评估了测试地图和参考点的不同分布，证明了该提议的有效性以及必要的权衡。报告的结果表明，即使只采用初始指纹参考点的50%，也能实现相同或相似的定位精度。
