Low-complexity iterative Doppler spread and channel estimation over Rayleigh fading channels

Authors

Zichen Wang, University of WollongongFollow
Yuxi Ruan, University of WollongongFollow
Qinghua Guo, University of WollongongFollow
Sheng Tong, University of WollongongFollow
Jun Tong, University of WollongongFollow
Jiangtao Xi, University of WollongongFollow

RIS ID

107368

Publication Details

Z. Wang, Y. Ruan, Q. Guo, S. Tong, J. Tong & J. Xi, "Low-complexity iterative Doppler spread and channel estimation over Rayleigh fading channels," in 2015 IEEE/CIC International Conference on Communications in China (ICCC), 2015, pp. 1-5.

Abstract

This paper proposes a new approach to joint Doppler spread and channel estimation over Rayleigh fading channels through an iterative process between a Doppler spread estimator and a channel estimator. Our proposed Doppler spread estimator is based on the autocorrelation function (ACF) of the estimated channel coefficients, where we devise an ACF lag selection mechanism to maximize the performance of the Doppler spread estimation. We use a Forney-style factor graph to represent the fading channel with a first order autoregressive (AR(1)) model and implement a Gaussian message passing based channel estimator for Doppler spread estimation, where the AR(1) model coefficients are optimized. Compared to the existing joint Doppler spread and channel estimation approaches, the proposed approach achieves similar or better performance with lower complexity.

Grant Number

ARC/DE120101266

Additional Grant Number

http://purl.org/au-research/grants/ARC/DE120101266