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
相关论文
共 50 条
  • [1] State of charge estimation based on adaptive neuro-fuzzy inference system
    Guan Jiansheng
    Xu Wenjin
    Zhang Abu
    [J]. ICCSE'2006: Proceedings of the First International Conference on Computer Science & Education: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2006, : 840 - 843
  • [2] Channel estimation using an adaptive neuro fuzzy inference system in the OFDM-IDMA system
    Taspinar, Necmi
    Simsir, Sakir
    [J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (01) : 352 - 364
  • [3] Adaptive Neuro-fuzzy Inference system into Induction Motor : Estimation
    Boussada, Zina
    Ben Hamed, Mouna
    Sbita, Lassaad
    [J]. 2014 INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2014,
  • [4] Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
    Luo, Yunhui
    Wang, Xingguang
    Wang, Qing
    Chen, Yehong
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (21):
  • [5] Fuzzy nonparametric regression based on an adaptive neuro-fuzzy inference system
    Danesh, Sedigheh
    Farnoosh, Rahman
    Razzaghnia, Tahereh
    [J]. NEUROCOMPUTING, 2016, 173 : 1450 - 1460
  • [6] Design of Adaptive Neuro-Fuzzy Inference System for Estimation of Grinding Performance
    Baseri, H.
    [J]. MATERIALS AND MANUFACTURING PROCESSES, 2011, 26 (05) : 757 - 763
  • [7] Runoff estimation using modified adaptive neuro-fuzzy inference system
    Nath, Amitabha
    Mthethwa, Fisokuhle
    Saha, Goutam
    [J]. ENVIRONMENTAL ENGINEERING RESEARCH, 2020, 25 (04) : 545 - 553
  • [8] Swine live weight estimation by adaptive neuro-fuzzy inference system
    Okinda, Cedric
    Liu, Longhen
    Zhang, Guangyue
    Shen, Mingxia
    [J]. INDIAN JOURNAL OF ANIMAL RESEARCH, 2018, 52 (06) : 923 - 928
  • [9] Unsaturated soils permeability estimation by adaptive neuro-fuzzy inference system
    Jokar, Mehdi Hashemi
    Khosravi, Abdolkarim
    Heidaripanah, Ali
    Soltani, Fazlollah
    [J]. SOFT COMPUTING, 2019, 23 (16) : 6871 - 6881
  • [10] Unsaturated soils permeability estimation by adaptive neuro-fuzzy inference system
    Mehdi Hashemi Jokar
    Abdolkarim Khosravi
    Ali Heidaripanah
    Fazlollah Soltani
    [J]. Soft Computing, 2019, 23 : 6871 - 6881
12345