Improvements of Indoor Fingerprint Location Algorithm based on RSS

With the development of the Internet, the technology of location fingerprint is widely used because of the advantage in indoor positioning performance of complex environment. K neighbor algorithm based on signal strength is a common position fingerprint matching algorithm. This paper firstly introduces the KNN fingerprint localization algorithm, and points out the deficiency of the algorithm. Then on the basis of the algorithm, correction K neighbor algorithm is put forward through improved the calculation of Euclidean distance. The simulation results show that the improved correction algorithm can achieve good location accuracy compared to traditional KNN algorithm.