An adaptive-bounds band-pass moving-average filter to increase precision on distance estimation from bluetooth RSSI

Abstract

Estimating distance from RSSI is not a straightforward task, especially when using consumer devices. The signal presents large levels of noise, and it is heavily affected by the conditions of the environment and by the devices themselves. In this paper we characterize experimentally different conditions of this noise, then we propose a filter to reduce it and to smooth and stabilize the signal; finally, we apply the filter to our test environment and validate its data. The experimental results showed that the filter has notorious benefits on precision when estimating distance from RSSI signal.