Study on Wifi Indoor Location Techniques Based on Android

This article focuses on the study and improvement of fingerprint location algorithm and designs, and implements the wireless-free internet indoor location system based on an Android platform. We have attempted to improve the accuracy of indoor location results. Our approach consisted of two main algorithms: A sampling algorithm uses a received signal strength indicator vector to construct the location fingerprint database. We tested 20 times at each sample point and stored the average result in the location fingerprint database to avoid errors introduced by signal fluctuations. A matching algorithm analyzes the location of the test point based on a K-nearest neighbor (K-NN) algorithm. Here, we introduced penalty to improve the accuracy of the K-NN algorithm. We evaluated the system in a busy engineering building and demonstrated localization accuracies in a 5m x 5m area. The results show that our system is capable of completely controlling the error in distances under 1.5m, and is promising in contrast with the results of previous studies.