粒子滤波算法在TDOA/RSSI融合定位中的应用

With the development of wireless communication technology and the prevalence of LBS (location-based service), wireless location technology has become a research hotspot. Among various wireless positioning technologies, TDOA positioning technology has been getting considerable attention with its high precisionand the feature of wide range. However, because the TDOA technique is also affected by noise interference and other factors in the indoor environment, the accuracy and stability of positioning are always disturbed. Therefore this technique often needs to be combined with other positioning technologies in order to obtain better results.Therefore, the fusion location algorithm based on joint location algorithm has become a hot research area of indoor location technology.Compared with the commonly used Kalman filter method, particle filter for non-Gaussian system has a more excellent performance, more able to adapt to the indoor location of the complex environment. In this paper, a new TDOA / RSSI fusion location method based on the idea of particle filter is proposed to improve the accuracy of locating result.