Coordinated Precoding Based on Distributed CSI for Multi-station and Multi-satellite MIMO Uplink System

Satellite communication has now become a necessary way for global communication. However, with the development of communication technology and wireless communication 5G technology and future 6G technical requirements, the current single measurement and control station corresponding to a single satellite injection system has shown many unavoidable problems. The communication rate and channel capacity can no longer meet the current communication needs and need to be greatly improved. Therefore, multiple-input multiple-output (MIMO, multiple-input multiple-output) technology has gradually become the research trend of satellite high-speed communication. This article proposes one This kind of multi-measurement and control station corresponds to the multi-satellite signal injection MIMO precoding algorithm, which converts multipath interference into the diversity gain of the system, increases the signal injection time and transmission rate in the cycle, and greatly improves the communication performance of the system. Exchange limited channel information between stations and iteratively update the transmitted covariance matrix information to obtain channel state information (CSI), and use the measurement and control station to transmit pilots and minimize the weighted mean square error (WMMSE, weighted minimum mean square error) algorithm continuous training Update the precoding matrix, and consider the worst case of the estimator, improve the WMMSE algorithm to make it have a certain anti-interference performance. In the Saleh-Valenzuela analog channel environment, using the RB-WMMSE precoding algorithm, the system has a good bit error rate and communication rate.