Neuro-hardware for peak power reduction of oversampled OFDM signal
β Scribed by Atsushi Mori; Masaya Ohta; Katsumi Yamashita
- Book ID
- 102822159
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 503 KB
- Volume
- 90
- Category
- Article
- ISSN
- 1042-0967
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β¦ Synopsis
Abstract
OFDM communication system has recently been attracting attention because of its features of high spectrum efficiency and robustness in a multipath environment. The OFDM signal often exhibits a high peak power. It is important to reduce the peak power, since communication quality is degraded and unnecessary outband power radiation is produced when such a signal is amplified by a nonlinear amplifier. This paper considers the peak power suppression problem in an oversampled OFDM signal and presents a solution using a mutually coupled neural network. The peak power suppression performance of the proposed method and the accompanying reduction of the outband radiation power and the bit error rate are evaluated by numerical experiments. Neuroβhardware which can handle the peak power suppression process in real time is experimentally constructed, and its performance is evaluated. Β© 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(8): 54β 62, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20285
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## Abstract Large peakβtoβaverage power ratio (PAPR) is the main drawback of orthogonal frequency division multiplexing (OFDM) systems. In this paper, a novel nonlinear scheme is proposed to reduce the PAPR. This scheme transforms the amplitude of original OFDM signals from Rayleigh distribution in