Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/E7209D60-ADFA-484D-8413-E3B8A2DE7CDC | ||
| Year | 2007 | ||
| Type of Item | Conference Full Paper | ||
| License |
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| Bibliographic Citation | D. S. Papailiopoulos and G. N. Karystinos, “Near ML detection of nonlinearly distorted OFDM signals,” in Proc. 2007 Asilomar Conference on Signals, Systems, and Computers, pp. 1756-1760, doi: 10.1109/ACSSC.2007.4487534 https://doi.org/10.1109/ACSSC.2007.4487534 | ||
| Appears in Collections |
Orthogonal frequency division multiplexing (OFDM) signaling exhibits high peak-to-average power ratio (PAR) which results in large sensitivity to nonlinear distortion created by the use of a high power amplifier (HPA) at the end of a wireless transmitter. In this work, in contrast with the popular approach of amplifier input signal clipping or low-PAR OFDM signal design, we utilize HPA characteristics to develop a low-complexity iterative detector of nonlinearly distorted OFDM signals that follows the principles of steepest descent search. Simulation studies indicate that the proposed method approaches maximum-likelihood performance and offers a significant gain over plain OFDM or other competing techniques.
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