A Video Bitrate Adaptive Algorithm for Public Network Digital Trunking Terminals

Abstract

Concerning the fact that the real-time video communication of mobile terminals is prone to video freeze due to the mobility of public network digital trunking terminal, a video bitrate adaptive algorithm for public network digital trunking terminals is proposed. Firstly, the mobile terminal detects the current geographic location and bandwidth situation in real time. Secondly, the prediction algorithm based on unscented Kalman filtering is used to predict the geographic location of the mobile terminal at the next moment. At the same time, the bandwidth situation corresponding to the geographic location at the next moment in the database is searched. Finally, dynamically adjust the video bit rate according to the current bandwidth situation and the bandwidth situation of the geographic location at the next moment. The experimental results show that, the proposed algorithm can accurately predict the geographic location at the next moment, and the geographic location prediction error is 1.89 meters; Compared with the video bitrate adaptation algorithm based on the current bandwidth information, the proposed algorithm can effectively reduce the video freeze and improve the video quality.