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.
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M. Nuri SEYMAN , Necmi TAPINAR, "Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 7, pp. 2426-2430, July 2008, doi: 10.1093/ietcom/e91-b.7.2426.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.7.2426/_p
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@ARTICLE{e91-b_7_2426,
author={M. Nuri SEYMAN , Necmi TAPINAR, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM},
year={2008},
volume={E91-B},
number={7},
pages={2426-2430},
abstract={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.},
keywords={},
doi={10.1093/ietcom/e91-b.7.2426},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM
T2 - IEICE TRANSACTIONS on Communications
SP - 2426
EP - 2430
AU - M. Nuri SEYMAN
AU - Necmi TAPINAR
PY - 2008
DO - 10.1093/ietcom/e91-b.7.2426
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2008
AB - 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.
ER -