Peak reduction and clipping mitigation in OFDM by augmented compressive sensing

Ebrahim B. Al-Safadi, Tareq Y. Al-Naffouri

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

This work establishes the design, analysis, and fine-tuning of a peak-to-average-power-ratio (PAPR) reducing system, based on compressed sensing (CS) at the receiver of a peak-reducing sparse clipper applied to an orthogonal frequency-division multiplexing (OFDM) signal at the transmitter. By exploiting the sparsity of clipping events in the time domain relative to a predefined clipping threshold, the method depends on partially observing the frequency content of the clipping distortion over reserved tones to estimate the remaining distortion. The approach has the advantage of eliminating the computational complexity at the transmitter and reducing the overall complexity of the system compared to previous methods which incorporate pilots to cancel nonlinear distortion. Data-based augmented CS methods are also proposed that draw upon available phase and support information from data tones for enhanced estimation and cancelation of clipping noise. This enables signal recovery under more severe clipping scenarios and hence lower PAPR can be achieved compared to conventional CS techniques. © 2012 IEEE.
Original languageEnglish (US)
Pages (from-to)3834-3839
Number of pages6
JournalIEEE Transactions on Signal Processing
Volume60
Issue number7
DOIs
StatePublished - Jul 2012

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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