Title :
Detection for OFDM Systems With Channel Estimation Errors Using Variational Inference
Author :
Li, Feng ; Zhu, Shihua ; Rong, Mei
Author_Institution :
Dept. of Inf. & Commun. Eng., Xi´´an Jiaotong Univ., Xi´´an
fDate :
5/1/2009 12:00:00 AM
Abstract :
This letter presents an iterative detection scheme for orthogonal frequency division multiplexing (OFDM) systems with imperfect channel state information (CSI). In deriving the proposed scheme, channel estimation error is combated by using the theory of variational inference. The proposed scheme deals with the channel impulse response parameters and detects the information symbols iteratively and jointly. The effectiveness of the new approach is demonstrated by Monte-Carlo simulations.
Keywords :
Monte Carlo methods; OFDM modulation; channel estimation; Monte-Carlo simulations; OFDM systems; channel estimation errors; channel impulse response parameters; channel state information; orthogonal frequency division multiplexing; variational inference; Bit error rate; Channel estimation; Channel state information; Communication standards; Covariance matrix; Digital video broadcasting; OFDM modulation; Peak to average power ratio; Symmetric matrices; Wireless communication; Channel imperfections; orthogonal frequency division multiplexing (OFDM); variational inference;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2016460