Dynamic Weighted Data Fusion Algorithm Based on TDOA/RSSI for Indoor Location

摘要

With the rapid development of wireless communication, wireless location technology has attracted more and more attention. However, the wireless communication environment is becoming complex. Just relying on only one positioning technology cannot meet the need of the precise positioning. Therefore, a proper fusion algorithm should be used for obtaining higher accuracy. In this paper, we propose a new algorithm based on the TDOA/RSSI data fusion. In this algorithm, the linear regression is used to reduce the interference of small probabilities to get the precise RSSI positioning result. Then, a dynamic weighted data fusion is performed at the decision level by combining the TDOA positioning result. By comparing to the normal TDOA algorithm, the results show that the proposed algorithm solves the problem of location ambiguity and weak robustness, and further improves the positioning accuracy.