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Summary: On Reducing the Complexity of Tone-Reservation
Based PAPR Reduction Schemes by Compressive
Sensing
Eprahim B. Al-Safadi
Department of Electrical Engineering
King Fahd University of Petroleum and Minerals
P.O. Box 7443 Dhahran 31261, Saudi Arabia
Tareq Y. Al-Naffouri
Department of Electrical Engineering
King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
Abstract--In this paper, we describe a novel design of a
Peak-to-Average-Power-Ratio (PAPR) reducing system, which
exploits the relative temporal sparsity of Orthogonal Frequency
Division Multiplexed (OFDM) signals to detect the positions and
amplitudes of clipped peaks, by partial observation of their
frequency content at the receiver. This approach uses recent
advances in reconstruction of sparse signals from rank-deficient
projections using convex programming collectively known as
compressive sensing.
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