Joint Synchronization and Compressive Estimation for Frequency-Selective mmWave MIMO Systems

摘要

A major challenge to establish and maintain millimeter wave (mmWave) links amounts as to how to obtain channel information to configure hybrid precoders and combiners in a hybrid architecture. Owing to lack of prior information on the wireless channel, achieving time-frequency synchronization between transmitter and receiver is one of the greatest challenges that needs to be solved in order to acquire Channel State Information (CSI). In this paper, we study and find the Maximum Likelihood (ML) solution to the joint problem of time-frequency synchronization and compressive channel estimation for broadband mmWave MIMO systems with hybrid architectures. Simulation results show that, using as few training symbols as in the 5G New Radio (NR) communications standard, near-optimum data rates can be achieved even at the very low SNR regime, thereby emphasizing the suitability of compressive channel estimation even when synchronization has not been performed at the receiver side.