An Improved Adaptive Filter Measurement Used in Indoor Location

This paper presents and realizes several ways to analyze and process the wireless signal based on signal strength in indoor positioning, which improves the accuracy of indoor positioning algorithms such as KNN and Probabilistic. This paper puts forward self-adaptive mean filter methods, which based on the research and analysis to the statistical property of wireless signal. It has shown a good result and improved the positioning accuracy by using the above methods in the experiment.