Reference Device-Assisted Adaptive Location Fingerprinting

Abstract

Location fingerprinting suffers in dynamic environments and needs recalibration from time to time to maintain system performance. This paper proposes an adaptive approach for location fingerprinting. Based on real-time received signal strength indicator (RSSI) samples measured by a group of reference devices, the approach applies a modified Universal Kriging (UK) interpolant to estimate adaptive temporal and environmental radio maps. The modified UK can take the spatial distribution characteristics of RSSI into account. In addition, the issue of device heterogeneity caused by multiple reference devices is further addressed. To compensate the measuring differences of heterogeneous reference devices, differential RSSI metric is employed. Extensive experiments were conducted in an indoor field and the results demonstrate that the proposed approach not only adapts to dynamic environments and the situation of changing APs’ positions, but it is also robust toward measuring differences of heterogeneous reference devices.

Research on Distributed 5G Signal Coverage Detection Algorithm Based on PSO-BP-Kriging

“…However, since only the positional relationship between nodes is considered, the spatial correlation is poor, and the calculation amount is also large. In [23,24,25], based on the spatial correlation of the RSSI values received by the sensor node, Kriging interpolation method is used to estimate the RSSI values of the perceived blind zone. However, the smoothing effect of the Kriging interpolation tends to obscure important information in areas with sharp changes in spatial data, resulting in inaccurate interpolation expression in this region [26].…”

Gaussian Processes for RSS Fingerprints Construction in Indoor Localization

“…The paper [16] proposes a new distance measure for wall attenuation in spatial correlation modeling for the Kriging method. A modified ordinary Kriging is proposed in [17] and a modified universal Kriging is proposed in [18].…”