Start-up behaviour of a neural network assisted decision feedback equaliser in a two-path channel

Kohonen, Teuvo; Raivio, Kimmo; Simula, Olli; Henriksson, J.

doi:10.1109/icc.1992.267987

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Detection of nonlinearly distorted, multi-path propagated signal is the major problem of all telecommunication systems [1][2][3][4][5]. Multi-path propagation introduces inter-symbol interference.…”

Section: Introductionmentioning

confidence: 99%

A neural approach for overall improvement of OFDM system

Rathkanthiwar

Dethe

Kulat

2011

International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011)

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This paper presents a neural network based, high power amplifi er (HPA) characteristics independent adaptive method for compensation of nonlinear distortions for orthogonal frequency division multiplexing signals. Major elements that contribute to multipath fading effects are also considered and to account for major degradation categories, Rayleigh and Rician channel models are considered in an OFDM system. System performance is tested for OFDM system with and without neural block and it is proved through spectral regrowth as well as bit error rate (BER) plots that the proposed model brings in overall improvement in OFDM system.

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