Gaussian Filtered RSSI-based Indoor Localization in WLAN using Bootstrap Filter

Abstract

The ranging technology based on Received Signal Strength Index (RSSI) is widely used in Wireless Local Area Network (WLAN) positioning technology due to its low cost and low complexity. In the indoor positioning algorithm of RSSI positioning technology, due to the complexity of indoor environment and the randomness of personnel and other factors, it may be affected by noise, which needs to be suppressed. Based on the analysis and research of RSSI value, a processing algorithm of signal attenuation model combining Gaussian filter and Bootstrap filter is proposed. In the experiment, Gaussian filter is used to filter the abnormal RSSI value to get the optimal value, and then the nonlinear signal attenuation model is processed by Bootstrap filter algorithm. The experiment was carried out in a representative indoor environment and an anechoic chamber. Compared with the existing ranging algorithm based on average RSSI value, the algorithm can effectively remove the mutation data and noise fluctuation in RSSI value, realize the accurate smooth output of RSSI value and establish an accurate ranging model.