Iterative Clipping Noise Recovery of OFDM Signals Based on Compressed Sensing

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

36 Scopus Citations
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Detail(s)

Original languageEnglish
Article number7883838
Pages (from-to)706-713
Journal / PublicationIEEE Transactions on Broadcasting
Volume63
Issue number4
Online published21 Mar 2017
Publication statusPublished - Dec 2017

Abstract

The simple method of clipping is widely used to reduce the peak-to-average power ratio of orthogonal frequency division multiplexing (OFDM) signal prior to passing it through the high power amplifier (HPA). However, clipping is a nonlinear process that causes both in-band and out-of-band distortions. Filtering the clipped OFDM signal can eliminate the out-of-band distortion but it can lead to peak regrowth. Therefore, iterative clipping and filtering have been used to both remove the out-of-band interference and suppress the regrowth of the peak power. However, the iterative process will degrade the bit error rate performance further. In this paper, we proposed a semi-analytic scheme based on compressed sensing to reconstruct the iterative clipping noise. Moreover, the proposed scheme is also applicable for reconstructing the total nonlinear distortion of a system so that the OFDM signal passes both the clipper and HPA. Simulation results show that the proposed scheme performs well and the nonlinear distortion can be recovered effectively.

Research Area(s)

  • compressed sensing (CS), high power amplifier (HPA), iterative clipping and filtering (ICF), OFDM, Peak-to-average power ratio (PAPR)

Citation Format(s)

Iterative Clipping Noise Recovery of OFDM Signals Based on Compressed Sensing. / Yang, Lin; Song, Kun; Siu, Yun Ming.
In: IEEE Transactions on Broadcasting, Vol. 63, No. 4, 7883838, 12.2017, p. 706-713.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review