GNSS Receiver Satellite Selection Algorithm Based on Particle Swarm Optimization

Abstract

The multi-constellation integrated navigation system increases the number of visible satellites, improves positioning accuracy, and increases the computational burden of the receiver. An effective algorithm needs to be proposed to use a subset of satellites to replace all-in-view satellites and ensure positioning accuracy. In this paper, the improved particle-swarm-optimization (PSO)-based satellite selection algorithm was proposed, which aims to improve the speed of satellite selection while ensuring positioning accuracy under the multi-constellation global-navigation-satellite-systems (GNSS) operational scenario. The results show that the proposed algorithm can improve the speed of selecting satellites, the selected satellite subset can ensure positioning accuracy and replace all-in-view satellites. Meanwhile, the proposed algorithm provides reference value for the multi-constellation integrated navigation satellite selection algorithm.