Joint data recovery and NBI mitigation in OFDM systems using CS framework

Hanan Al-Tous, Imad Barhumi, Abdulrahman Kalbat, Naofal Al-Dhahir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a novel approach is proposed to jointly recover the transmitted data and mitigate narrow-band interference (NBI) in OFDM systems using compressive sensing (CS) framework. NBI degrades the performance of OFDM systems which motivates the need for mitigation techniques to reduce its effect. The main idea behind our approach is to represent the transmitted data and the NBI signal as a sparse vector and then solve a joint optimization problem. Therefore, the modulated signal using popular modulation schemes such as BPSK, QPSK, and M-PAM is represented by binary representation using some dictionaries. NBI is a sparse signal in the frequency domain, however, frequency-grid-mismatch destroys the sparsity of NBI at the receiver. We propose a structured-dictionary-mismatch formulation to estimate the frequency-grid-mismatch and recover the sparsity of the NBI in the frequency domain. The optimization problem is formulated as a combined re-weighted ℓ1 and ℓ2,1 norms. The solution aims to recover the transmitted data and NBI jointly.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013173
DOIs
Publication statusPublished - Dec 16 2016
Event16th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 - Nanjing, China
Duration: Oct 16 2016Oct 19 2016

Publication series

Name2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016

Other

Other16th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016
Country/TerritoryChina
CityNanjing
Period10/16/1610/19/16

Keywords

  • NBI
  • OFDM
  • compressive sensing
  • re-weighted

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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