Applied research of location fingerprint positioning system based on the improved AUKF algorithm

摘要

Because of the signal error existing in mine personnel positioning when using location fingerprint positioning, the paper proposes self-adaptive unscented Kalman filter (Adaptive UKF, AUKF) algorithm. The filtering algorithm can actively suppress signal diverging and compensate for the signal loss brought about by the noise, and further improve the accuracy of the sample signal in location fingerprint positioning method. By associating the accurate signal positioning with the position algorithm, the system can obtain more accurate target location.