Sparse Channel Estimation in Wideband Systems with Geometric Sequence Decomposition
Information Theory
2022-01-24 v2 Signal Processing
math.IT
Abstract
The sparsity of multipaths in the wideband channel has motivated the use of compressed sensing for channel estimation. In this letter, we propose a different approach to sparse channel estimation. We exploit the fact that taps of channel impulse response in time domain constitute a non-orthogonal superposition of geometric sequences in frequency domain. This converts the channel estimation problem into the extraction of the parameters of geometric sequences. Numerical results show that the proposed scheme is superior to existing algorithms in high signal-to-noise ratio (SNR) and large bandwidth conditions.
Cite
@article{arxiv.2104.04215,
title = {Sparse Channel Estimation in Wideband Systems with Geometric Sequence Decomposition},
author = {Woong-Hee Lee and Ki Won Sung},
journal= {arXiv preprint arXiv:2104.04215},
year = {2022}
}