Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5026648 | Procedia Engineering | 2017 | 10 Pages |
Abstract
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.
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Authors
I.V. Semushin, Yu.V. Tsyganova, A.V. Tsyganov, E.F. Prokhorova,