Channel estimation based on adaptive neuro-fuzzy inference system in OFDM

[ X ]

Tarih

2008

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Ieice-Inst Electronics Information Communications Eng

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

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.

Açıklama

Anahtar Kelimeler

OFDM, channel estimation, ANFIS, channel impulse response (CIR)

Kaynak

Ieice Transactions On Communications

WoS Q Değeri

Q3

Scopus Q Değeri

Q3

Cilt

E91B

Sayı

7

Künye

closedAccess