Precise Positioning Method Of UWB In Signal Jamming

Abstract

Ultra Wide Band (UWB) is a pulsed wireless communication technology. In this paper, an accurate UWB localization method in signal jamming based on time of flight (TOF) is proposed. First, we introduce the K-nearest neighbors (KNN) to classify the jammed signal data. Secondly, a deep neural network is trained by the jammed signal data to establish the mapping between the anchor and the target, and the linear correction is applied to the disturbed measurement values. Finally, the model is built based on the spatial location relationship between the anchor and the target, and is solved by convex optimization. Simulation results show that the method proposed in this paper is effective, which can improve the UWB positioning accuracy in the jamming environment.