Tracking A Dynamic Sparse Channel Via Differential Orthogonal Matching Pursuit
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.
Cite
@article{arxiv.1507.05363,
title = {Tracking A Dynamic Sparse Channel Via Differential Orthogonal Matching Pursuit},
author = {Xudong Zhu and Linglong Dai and Wei Dai and Zhaocheng Wang and Marc Moonen},
journal= {arXiv preprint arXiv:1507.05363},
year = {2016}
}
Comments
Conference: Milcom 2015 Track 1 - Waveforms and Signal Processing - IEEE Military Communications Conference 2015