A novel MAP estimation algorithm for multiple frequency offsets in distributed MIMO system

Authors:
Qiang Wang;Xia Lei;Jian Du;Yuan Tian;Yue Xiao;Shao-Qian Li
Affiliations:
National Communication Anti-interference Technology Key Lab, UESTC, Chengdu, China;National Communication Anti-interference Technology Key Lab, UESTC, Chengdu, China;National Communication Anti-interference Technology Key Lab, UESTC, Chengdu, China;National Communication Anti-interference Technology Key Lab, UESTC, Chengdu, China;National Communication Anti-interference Technology Key Lab, UESTC, Chengdu, China;National Communication Anti-interference Technology Key Lab, UESTC, Chengdu, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 4
Cited 0

On parameter estimation of MIMO flat-fading channels with frequency offsets

IEEE Transactions on Signal Processing
On Bounds and Algorithms for Frequency Synchronization for Collaborative Communication Systems

IEEE Transactions on Signal Processing - Part I
Time, Frequency Synchronization, and Equalization for Asynchronous Multiuser MIMO Systems

IEEE Transactions on Wireless Communications
Joint channel and frequency offset estimation in distributed MIMO flat-fading channels

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 Cramér-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.