Compressed Sensing Algorithms for OFDM Channel Estimation
Information Theory
2016-12-23 v1 Networking and Internet Architecture
math.IT
Abstract
Radio channels are typically sparse in the delay domain, and ideal for compressed sensing. A new compressed sensing algorithm called eX-OMP is developed that yields performance similar to that of the optimal MMSE estimator. The new algorithm relies on a small amount additional data. Both eX-OMP and the MMSE estimator adaptively balance channel tracking and noise reduction. They perform better than simple estimators such as the linear-interpolator which fix this trade-off a priori. Some wideband measurements are examined, and the channels are found to be represented by a few delays.
Cite
@article{arxiv.1612.07761,
title = {Compressed Sensing Algorithms for OFDM Channel Estimation},
author = {Jonathan Ling and Dmitry Chizhik and A. Tulino and Inaki Esnaola},
journal= {arXiv preprint arXiv:1612.07761},
year = {2016}
}
Comments
Patent no: US8929390 Methods And Apparatuses For Channel Estimation In Wireless Networks