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Conference Paper
Reliable Data Aided Sparsity-Aware Approaches to Clipping Noise Estimation in OFDM Systems
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- Authors
- Junho Lee, Seung-Hwan Lee
- Issue Date
- 2012-09
- Citation
- Vehicular Technology Conference (VTC) 2012 (Fall), pp.1-5
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose reliable data aided sparsity-aware approaches to estimate and cancel the clipping noise in OFDM systems. Those are motivated by the fact that reliable data can be exploited to estimate the clipping noise in a successive interference cancellation (SIC) manner. When the clipping noise has relatively large support, a data non-aided method is not class enough to estimate the clipping noise well due to the compressed sensing (CS) based measurement shortages. Simulation results demonstrate the effectiveness of our proposed methods in estimating the clipping noise and approaching the performance with no clipping noise. © 2012 IEEE.
- KSP Keywords
- Clipping noise estimation, Compressed sensing, OFDM systems, Successive Interference Cancellation, reliable data, simulation results