An improved integrated fingerprint location algorithm based on WKNN

摘要

Fingerprint location algorithm is often used in process of indoor location. But the complex environment will cause fluctuations in signal strength and this fluctuation will lead to positioning errors. In order to correct the error we use Gaussian filtering to preprocess the location data and adopt based on voting region decision policy and based on maximum signal strength AP selection policy. SSCM-WKNN algorithm that integrates these policies and the WKNN algorithm of K-value optimized are implemented in a simulation environment, and experiments show that it is effective to reduce the positioning error.