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Cited 15 time in webofscience Cited 23 time in scopus
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Clipping Noise Cancelation for OFDM Systems Using Reliable Observations Based on Compressed Sensing

Authors
Kim, Kee-HoonPark, HosungNo, Jong-SeonChung, HabongShin, Dong-Joon
Issue Date
Mar-2015
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Clipping noise; compressed sensing (CS); fast Fourier transform (FFT); orthogonal frequency division multiplexing (OFDM); peak-to-average power ratio (PAPR)
Citation
IEEE TRANSACTIONS ON BROADCASTING, v.61, no.1, pp.111 - 118
Journal Title
IEEE TRANSACTIONS ON BROADCASTING
Volume
61
Number
1
Start Page
111
End Page
118
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/10116
DOI
10.1109/TBC.2014.2374222
ISSN
0018-9316
Abstract
In this paper, a clipping noise cancelation scheme using compressed sensing (CS) technique is proposed for orthogonal frequency division multiplexing systems. The proposed scheme does not need reserved tones or pilot tones, which is different from the previous works using CS technique. Instead, observations of the clipping noise in data tones are exploited, which leads to no loss of data rate. Also, in contrast with the previous works, the proposed scheme selectively exploits the reliable observations of the clipping noise instead of using whole observations, which results in minimizing the bad influence of channel noise. From the selected reliable observations, the clipping noise in time domain is reconstructed and canceled by using CS technique. Simulation results show that the proposed scheme performs well compared to other conventional clipping noise cancelation schemes and shows the best performance in some cases.
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