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

Conference Paper


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.

Publication Date


  • 2015

Citation


  • 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.

Scopus Eid


  • 2-s2.0-84966928896

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5428

Start Page


  • 1

End Page


  • 5

Place Of Publication


  • United States

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.

Publication Date


  • 2015

Citation


  • 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.

Scopus Eid


  • 2-s2.0-84966928896

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5428

Start Page


  • 1

End Page


  • 5

Place Of Publication


  • United States