TY - GEN
T1 - Atomic-norm for joint data recovery and narrow-band interference mitigation in OFDM systems
AU - Al-Tous, Hanan
AU - Barhumi, Imad
AU - Al-Dhahir, Naofal
N1 - Funding Information:
This research work has been supported by grant number 21N183 for UAE ICT Fund to the signal processing and communications research group in United Arab Emirates University (UAEU), Al Ain, and the authors acknowledge their help and support
Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/21
Y1 - 2016/12/21
N2 - In this paper, a novel approach is proposed to jointly recover the transmitted signal and mitigate narrow-band interference (NBI) in OFDM systems using a 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 sparse atoms and then to solve a joint compressive sensing (JCS) problem. The recovery problem is formulated as a weighted optimization problem of two atomic norms and then solved using convex programming. The solution aims to recover the transmitted signal and NBI jointly. The off-grid problem of NBI signal is avoided using the atomic norm. The bit error rate (BER) performance of our proposed JCS recovery approach outperforms the BER performance of the conventional CS-based approach as demonstrated by simulation results.
AB - In this paper, a novel approach is proposed to jointly recover the transmitted signal and mitigate narrow-band interference (NBI) in OFDM systems using a 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 sparse atoms and then to solve a joint compressive sensing (JCS) problem. The recovery problem is formulated as a weighted optimization problem of two atomic norms and then solved using convex programming. The solution aims to recover the transmitted signal and NBI jointly. The off-grid problem of NBI signal is avoided using the atomic norm. The bit error rate (BER) performance of our proposed JCS recovery approach outperforms the BER performance of the conventional CS-based approach as demonstrated by simulation results.
KW - NBI
KW - OFDM
KW - atomic norm
KW - compressive sensing
KW - semi-definite programming
UR - http://www.scopus.com/inward/record.url?scp=85010040210&partnerID=8YFLogxK
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U2 - 10.1109/PIMRC.2016.7794716
DO - 10.1109/PIMRC.2016.7794716
M3 - Conference contribution
AN - SCOPUS:85010040210
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
BT - 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016
Y2 - 4 September 2016 through 8 September 2016
ER -