DocumentCode
3213266
Title
A neural approach for overall improvement of OFDM system
Author
Rathkanthiwar, S. ; Dethe, C.G. ; Kulat, K.D.
Author_Institution
RTMNU, Nagpur, India
fYear
2011
fDate
20-22 July 2011
Firstpage
764
Lastpage
769
Abstract
This paper presents a neural network based, high power amplifier (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.
Keywords
OFDM modulation; Rayleigh channels; Rician channels; error statistics; neural nets; BER; OFDM system; Rayleigh channel models; Rician channel models; bit error rate; high power amplifier; independent adaptive method; major degradation categories; multipath fading effects; neural approach; neural network; nonlinear distortions; orthogonal frequency division multiplexing signals; spectral regrowth; HPA; OFDM; PAPR; QAM; SOM;
fLanguage
English
Publisher
iet
Conference_Titel
Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
Conference_Location
Chennai
Type
conf
DOI
10.1049/cp.2011.0466
Filename
6143415
Link To Document