Article ID Journal Published Year Pages File Type
5026648 Procedia Engineering 2017 10 Pages PDF
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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Physical Sciences and Engineering Engineering Engineering (General)
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