Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM

M. Nuri SEYMAN   Necmi TAPINAR  

IEICE TRANSACTIONS on Communications   Vol.E91-B   No.7   pp.2426-2430
Publication Date: 2008/07/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e91-b.7.2426
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
OFDM,  channel estimation,  ANFIS,  channel impulse response (CIR),  

Full Text: PDF>>
Buy this Article

In this letter we purpose adaptive neuro-fuzzy inference system (ANFIS) for channel estimation in orthogonal frequency division multiplexing (OFDM) systems. To evaluate the performance of this estimator, we compare the ANFIS with least square (LS) algorithm, minimum mean square error (MMSE) algorithm by using bit error rate (BER) and mean square error (MSE) criterias. According to computer simulations the performance of ANFIS has better performance than LS algorithm and close to MMSE algorithm. Besides there is unnecessity to send pilot when used the ANFIS.