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arXiv · 1507.05363

Tracking A Dynamic Sparse Channel Via Differential Orthogonal Matching Pursuit

Xudong Zhu·Linglong Dai·Wei Dai·Zhaocheng Wang·Marc Moonen
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Abstract

This paper considers the problem of tracking a dynamic sparse channel in a broadband wireless communication system. A probabilistic signal model is firstly proposed to describe the special features of temporal correlations of dynamic sparse channels: path delays change slowly over time, while path gains evolve faster. Based on such temporal correlations, we then propose the differential orthogonal matching pursuit (D-OMP) algorithm to track a dynamic sparse channel in a sequential way by updating the small channel variation over time. Compared with other channel tracking algorithms, simulation results demonstrate that the proposed D-OMP algorithm can track dynamic sparse channels faster with improved accuracy.

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Xudong Zhu, Linglong Dai, Wei Dai, Zhaocheng Wang, Marc Moonen. 2015-07-20. Tracking A Dynamic Sparse Channel Via Differential Orthogonal Matching Pursuit. https://doi.org/10.1109/milcom.2015.7357541

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