ICASSP 2015accepted0 citations
Bayesian narrowband interference mitigation in SC-FDMA
Anum Ali, Mudassir Masood, Samir N. Al-Ghadhban, Tareq Y. Al-Naffouri
Abstract
This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed scheme exploits the frequency domain sparsity of the unknown NBI signal and adopts a low complexity Bayesian sparse recovery procedure. In practice, however, the sparsity of the NBI is destroyed by a grid mismatch between NBI sources and SC-FDMA system. Towards this end, an accurate grid mismatch model is presented and a sparsifying transform is utilized to restore the sparsity of the unknown signal. Numerical results are presented that depict the suitability of the proposed scheme for NBI mitigation.
BibTeX
@inproceedings{icassp2015_bayesiannarrowba,
title = {Bayesian narrowband interference mitigation in SC-FDMA},
author = {Anum Ali and Mudassir Masood and Samir N. Al-Ghadhban and Tareq Y. Al-Naffouri},
booktitle = {ICASSP 2015},
year = {2015}
}