Maximum Likelihood Estimation and Centroiding Hybrid RSSI-based Indoor Positioning

摘要

RSSI-based positioning technology suffers from accuracy degradation due to complex indoor environment, and traditional weighted centroid algorithm hardly satisfies people's accuracy requirements. In this paper, a hybrid RSSI based positioning algorithm is proposed. Firstly, maximum likelihood estimation method is used to estimate the rough information of positioning target; then, optimized weighted centroiding algorithm is adopted to obtain its accurate coordinates, which further improves the positioning accuracy. Simulation results have verified the superiority of this hybrid algorithm compared with traditional algorithms.