Title :
Performance evaluation of ANN based channel interpolation for OFDM system
Author :
Engiz, Begüm Korunur ; Kurnaz, Çetin ; Kayhan, Gökhan
Author_Institution :
Dept. of Electr. Eng. & Electron., Ondokuz Mayis Univ., Samsun, Turkey
Abstract :
In this study, the effect of three different techniques that used for interpolation on OFDM system with pilot based comb type channel estimation is investigated and results are given in terms of BER (Bit Error Rate). The estimation of channel at pilot subcarriers is done by LS (Least Square), and interpolation of channel at data subcarriers are obtained by low pass (LP) interpolation algorithm, ANFIS (Adaptive Network Based Fuzzy Inference Systems) and GRNN (Generalized Regression Neural Networks) artificial neural network (ANN) structures. The results show that there is a relationship between the number of used pilot bits and interpolation technique´s performance. If the aim is to get high bandwidth efficiency over a given bandwidth LP algorithm should be used for interpolation, to get the lowest BER ANFIS or GRNN can be used.
Keywords :
OFDM modulation; channel estimation; error statistics; fading channels; fuzzy reasoning; least squares approximations; neural nets; telecommunication computing; ANN based channel interpolation; BER; OFDM system; adaptive network based fuzzy inference systems; artificial neural network; bit error rate; data subcarrier; generalized regression neural networks; least square estimation; low pass interpolation algorithm; pilot based comb type channel estimation; pilot subcarrier; Artificial neural networks; Bit error rate; Channel estimation; Fading; Interpolation; Neurons; OFDM; ANFIS; ANN; GRNN; LP; OFDM; comb type based channel estimation;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Conference_Location :
Trabzon
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6246975
