TY - GEN
T1 - Mitigation of narrow-band interference in two-way AF-OFDM relaying systems using compressive sensing
AU - Al-Tous, Hanan
AU - Barhumi, Imad
AU - Al-Dhahir, Naofal
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/12
Y1 - 2016/9/12
N2 - In this paper, narrow-band interference (NBI) mitigation is addressed for two-way (TW) relaying amplify and forward (AF) orthogonal frequency division multiplexing (OFDM) systems. Based on the channel gains between the interferer, relay and the terminal nodes two copies of the NBI signal are received at each terminal node in addition to the desired signal. Hence, NBI can degrade the performance of TW-AF-OFDM relaying systems which motivates the need for mitigation techniques to reduce its effect. NBI is a sparse signal in the frequency domain, hence, the compressive sensing (CS) framework can be used to recover NBI and cancel it before detecting the transmitted signal. However, frequency-grid-mismatch destroys the sparsity of the received NBI signal at the terminal nodes. Hence, we propose a block-structured-dictionary-mismatch formulation to estimate the frequency-grid-mismatch and recover the sparsity of the NBI. The block orthogonal matching pursuit (B-OMP) algorithm is proposed to solve the formulated optimization problem because of its reduced computational complexity. Simulation results demonstrate the merits of the proposed approach.
AB - In this paper, narrow-band interference (NBI) mitigation is addressed for two-way (TW) relaying amplify and forward (AF) orthogonal frequency division multiplexing (OFDM) systems. Based on the channel gains between the interferer, relay and the terminal nodes two copies of the NBI signal are received at each terminal node in addition to the desired signal. Hence, NBI can degrade the performance of TW-AF-OFDM relaying systems which motivates the need for mitigation techniques to reduce its effect. NBI is a sparse signal in the frequency domain, hence, the compressive sensing (CS) framework can be used to recover NBI and cancel it before detecting the transmitted signal. However, frequency-grid-mismatch destroys the sparsity of the received NBI signal at the terminal nodes. Hence, we propose a block-structured-dictionary-mismatch formulation to estimate the frequency-grid-mismatch and recover the sparsity of the NBI. The block orthogonal matching pursuit (B-OMP) algorithm is proposed to solve the formulated optimization problem because of its reduced computational complexity. Simulation results demonstrate the merits of the proposed approach.
KW - OFDM
KW - amplify and forward (AF)
KW - block sparse
KW - compressive sensing (CS)
KW - frequency-grid-mismatch
KW - narrow-band interference (NBI)
UR - http://www.scopus.com/inward/record.url?scp=84989864270&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84989864270&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2016.7564853
DO - 10.1109/WCNC.2016.7564853
M3 - Conference contribution
AN - SCOPUS:84989864270
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
Y2 - 3 April 2016 through 7 April 2016
ER -