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

M. Nuri SEYMAN , Necmi TAPINAR

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Summary :

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.

Publication
IEICE TRANSACTIONS on Communications Vol.E91-B No.7 pp.2426-2430
Publication Date
2008/07/01
Publicized
Online ISSN
1745-1345
DOI
10.1093/ietcom/e91-b.7.2426
Type of Manuscript
LETTER
Category
Wireless Communication Technologies

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