Analysis of the application of filter algorithm in indoor fingerprinting localization

Abstract

To address the accuracy and cost of indoor localization technology, ZigBee technology is used and proposed to design location fingerprinting localization combined with filter algorithm. Considering that the indoor environment is more complex, buildings and obstacles and other factors lead to unstable RSSI, therefore, the ZigBee technology firstly establishes a location fingerprint database in the localization area, and then receives the RSSI value by using the mobile node, and then the received RSSI is processed by the filter algorithm, and then matches with the data of the established fingerprint database to calculate and get the location coordinates, and finally analyzes the localization results of the several filters processed. The localization results of several filters are lastly analyzed. Through the experiment, it is concluded that the localization accuracy obtained by using Kalman filter is high.