Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM
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概要
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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.
- (社)電子情報通信学会の論文
- 2008-07-01
著者
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Taspinar Necmi
Department Of Electrical And Electronic Engineering Erciyes University
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NURI SEYMAN
Kirikkale Vocational Technical School, Kirikkale University
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Nuri Seyman
Kirikkale Vocational Technical School Kirikkale University
関連論文
- Parallel Interference Cancellation Based on Neural Network in CDMA Systems(Wireless Communication Technologies)
- Fuzzy Inference System for Multiuser Detection in CDMA Systems(Wireless Communication Technologies)
- Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM