Numerically efficient UD filter based channel estimation for OFDM wireless communication technology

Channel estimation and prediction algorithms are developed for use in broadband OFDM data transmission over non-ideal channels. The scalar complex channel coefficients are described by Gauss-Markov AR models of a given order in state space form to model the channel fading statistics. On this basis,...

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Bibliographic Details
Main Authors: Semushin, I.V., Tsyganova, Yu.V., Tsyganov, A.V., Prokhorova, E.F.
Format: Conference Proceeding
Language:English
Subjects:
channel estimation
Kalman filtering
OFDM data transmission
UD based algorithm
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Summary:Channel estimation and prediction algorithms are developed for use in broadband OFDM data transmission over non-ideal channels. The scalar complex channel coefficients are described by Gauss-Markov AR models of a given order in state space form to model the channel fading statistics. On this basis, the conventional Kalman filtering and prediction algorithm (CKFPA) is presented as a starting point for further development. A novel numerically stable channel estimation algorithm based on the original KFPA solution, the so-called extended Array UD Covariance Filter (eUD-CF) algorithm, is developed. The aspects of a parallel implementation of the suggested algorithm are also considered.
ISSN:1877-7058
1877-7058
DOI:10.1016/j.proeng.2017.09.597