Channel estimation based on adaptive neuro-fuzzy inference system in OFDM
[ X ]
Tarih
2008
Yazarlar
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