Computer Science – Information Theory
Scientific paper
2011-11-14
Computer Science
Information Theory
This short version was submitted Sep. 19, 2011 to ICC 2012. Long version submitted to IEEE Transactions on Communications Nove
Scientific paper
In this paper we propose a novel form of clipping mitigation in OFDM using compressive sensing that completely avoids tone reservation and hence rate loss for this purpose. The method builds on selecting the most reliable perturbations from the constellation lattice upon decoding at the receiver, and performs compressive sensing over these observations in order to completely recover the temporally sparse nonlinear distortion. As such, the method provides a unique practical solution to the problem of initial erroneous decoding decisions in iterative ML methods, offering both the ability to augment these techniques and to solely recover the distorted signal in one shot.
Al Naffouri Tareq Y.
Al Safadi Ebrahim B.
No associations
LandOfFree
Pilotless Recovery of Clipped OFDM Signals by Compressive Sensing over Reliable Data Carriers does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Pilotless Recovery of Clipped OFDM Signals by Compressive Sensing over Reliable Data Carriers, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Pilotless Recovery of Clipped OFDM Signals by Compressive Sensing over Reliable Data Carriers will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-218851