Using Multi-objective Optimization Algorithm to Improve the Efficiency and Reliability of Satellite Signal Processing System

Traditional satellite signal processing methods sacrifice the performance of other aspects when optimizing one aspect of the satellite signal processing system. This paper constructed a multi-objective optimization model based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and built a framework based on the improved genetic algorithm. By comparing with the LSM (Least Mean Squares) algorithm, the NSGA-II algorithm has the shortest average processing time of 28.99ms and the minimum error rate of 1.27%, which is better than the LSM algorithm. The research results show that this method can improve the performance of the satellite signal processing system.