A Novel MAP Estimation Algorithm for Multiple Frequency Offsets in Distributed MIMO System

摘要

This paper addresses maximum a posteriori (MAP) estimation algorithm for multiple frequency offsets in distributed multiple inputs and multiple outputs (MIMO) system in the presence of prior information about frequency offsets. In this paper, the prior information is considered and the Cramer-Rao Bound (CRB) for the problem at hand is derived. Additionally, taking advantage of prior information, the algorithm of maximum a posteriori is investigated. First, the variance of prior information can be estimated according to the range of frequency offsets. Then the MAP estimation will be used to estimate the frequency offsets. Compared with the maximum-likelihood estimation, simulation results illustrate the performance of MAP estimator achieve the CRB and the proposed algorithm can improve the efficiency of synchronization obviously, especially in low Signal to Noise Ratio (SNR) environment.