A TDOA positioning technology based on PF-KF hybrid filtering in NLOS scenarios

TDOA is an effective wireless network node localization technology, but in urban environments, NLOS errors can cause a sharp decline in TDOA localization accuracy and even fail to achieve effective localization. In response to this issue, this paper proposes a TDOA localization technique based on PF-KF hybrid filtering in NLOS scenarios. Firstly, the measurement value is determined by the particle weighted residual value to determine whether there is an NLOS error. Then, the particle weighted geometric center is used as the observation value to obtain a rough estimate through Kalman filtering. Finally, the rough estimate is subjected to PF-KF hybrid filtering to obtain the final estimate. Simulation experiments show that this method can effectively resist NLOS interference, improve positioning accuracy, and obtain more accurate positioning coordinates.