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 language | English |
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Title of host publication | 2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509013173 |
DOIs | |
Publication status | Published - Dec 16 2016 |
Event | 16th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 - Nanjing, China Duration: Oct 16 2016 → Oct 19 2016 |
Other
Other | 16th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 |
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Country/Territory | China |
City | Nanjing |
Period | 10/16/16 → 10/19/16 |
Keywords
- compressive sensing
- NBI
- OFDM
- re-weighted
ASJC Scopus subject areas
- Computer Networks and Communications
- Instrumentation