Pilotless recovery of clipped OFDM signals by compressive sensing over reliable data carriers
KAUST DepartmentElectrical Engineering Program
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AbstractIn this paper we propose a novel method of clipping mitigation in OFDM using compressive sensing that completely avoids using reserved tones or channel-estimation pilots. The method builds on selecting the most reliable perturbations from the constellation lattice upon decoding at the receiver (in the frequency domain), and performs compressive sensing over these observations in order to completely recover the sparse nonlinear distortion in the time domain. As such, the method provides a practical solution to the problem of initial erroneous decoding decisions in iterative ML methods, and the ability to recover the distorted signal in one shot. © 2012 IEEE.
Journal2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Conference/Event name2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012