A High Robustness Positioning Algorithm for Fingerprint Localization System

摘要

Fingerprint localization algorithm is widely used in indoor scenario positioning. Received Signal Strength (RSS) is commonly used as the signal feature of fingerprint algorithm. But RSS could be changed due to the temperature or environment reason, which makes it an unreliable signal feature. This paper proposes a novel positioning algorithm based on the formal K Nearest Neighbor (KNN) algorithm. The proposed algorithm enhances the robustness of positioning system take example by the Receiver Autonomous Integrity Monitoring (RAIM) receive technique of Global Navigation Satellite System (GNSS) technologies. Simulation shows the novel algorithm is helpful to avoid the influence of RSS dramatic changes.