Improved Dynamic RSSI-TDOA Weighted Fusion Indoor Localization Algorithm

Abstract

Due to physical factors like unstable AP signal strength and complex indoor environment, there are problems in conventional difference of time arrival (TDOA) algorithm such as inaccurate positioning, large impact on positioning accuracy caused by abnormal data. After analyzing TDOA algorithm and RSSI algorithm, this paper proposed RSSI-TDOA weighted fusion indoor localization algorithm. In order to obtain a more accurate estimate of the position, this algorithm combines improved dynamic RSSI algorithm with TDOA algorithm through two layers of data fusion. The MATLAB simulation result shows that, by using data fusion, compared to the conventional TDOA algorithm, this algorithm has a higher accuracy. Compared to conventional RSSI algorithm, it eliminates measurement errors caused by RSSI singular values.