TY - GEN
T1 - Narrow-band interference mitigation using compressive sensing in AF-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 from 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 - 2016/11/30
Y1 - 2016/11/30
N2 - In this paper, narrow-band interference (NBI) mitigation is addressed in amplify-and-forward orthogonal-frequency-division-multiplexing (AF-OFDM) cooperative communication systems. Based on the channel gains between the interferer, destination and the relay nodes, three copies of the NBI are received at the destination node in addition to the desired signal. Hence, NBI degrades the performance of AF-OFDM systems which motivates the need for mitigation techniques to reduce its effect. NBI is a sparse signal in the frequency-domain, hence, compressive sensing (CS) framework can be used to estimate and cancel the NBI before detecting the transmitted signal. However, frequency-grid-mismatch destroys the sparsity of NBI in the frequency domain at the destination terminal. A structured-dictionary-mismatch formulation is proposed to approximate the received NBI vector by two sparse vectors. An £2,1 norm minimization problem is solved to recover the sparse vectors. The recovered NBI is then canceled from the received signal before detection. Simulation results demonstrate the merits of the proposed approach.
AB - In this paper, narrow-band interference (NBI) mitigation is addressed in amplify-and-forward orthogonal-frequency-division-multiplexing (AF-OFDM) cooperative communication systems. Based on the channel gains between the interferer, destination and the relay nodes, three copies of the NBI are received at the destination node in addition to the desired signal. Hence, NBI degrades the performance of AF-OFDM systems which motivates the need for mitigation techniques to reduce its effect. NBI is a sparse signal in the frequency-domain, hence, compressive sensing (CS) framework can be used to estimate and cancel the NBI before detecting the transmitted signal. However, frequency-grid-mismatch destroys the sparsity of NBI in the frequency domain at the destination terminal. A structured-dictionary-mismatch formulation is proposed to approximate the received NBI vector by two sparse vectors. An £2,1 norm minimization problem is solved to recover the sparse vectors. The recovered NBI is then canceled from the received signal before detection. Simulation results demonstrate the merits of the proposed approach.
KW - AF cooperative communications
KW - Compressive sensing
KW - NBI
KW - OFDM
KW - frequency-grid mismatch
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U2 - 10.1109/WiMOB.2016.7763256
DO - 10.1109/WiMOB.2016.7763256
M3 - Conference contribution
AN - SCOPUS:85014178387
T3 - International Conference on Wireless and Mobile Computing, Networking and Communications
BT - 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016
PB - IEEE Computer Society
T2 - 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016
Y2 - 17 October 2016 through 19 October 2016
ER -