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

被引：0
|
作者：
Seyman, M. Nuri [1 ]
Taspinar, Necmi [2 ]
机构：
[1] Kirikkale Univ, Kirikkale Vocat Tech Sch, Kirikkale, Turkey
[2] Erciyes Univ, Dept Elect & Elect Engn, TR-38039 Kayseri, Turkey
来源：
IEICE TRANSACTIONS ON COMMUNICATIONS | 2008年 / E91B卷 / 07期
关键词：
OFDM; channel estimation; ANFIS; channel impulse response (CIR);
D O I：
10.1093/ietcom/e9l-b.7.2426
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：2426 / 2430
页数：5
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