MIMO-OFDM Channel Estimation Using ANFIS

Authors

  • M. N. Seyman Kirikkale Vocational Technical High School, Kirikkale University
  • N. Taspinar Erciyes University

DOI:

https://doi.org/10.5755/j01.eee.120.4.1458

Abstract

In this paper, adaptive neuro fuzzy inference system (ANFIS) model is proposed for channel estimation in MIMO-OFDM system and the performance of this estimator is compared to the least square error (LS), least mean square error (LMS)  algorithms by computer simulations. According to the simulations, ANFIS performs better than LS and LMS algorithms. Moreover, there is no need of sending pilot tones which are necessary for classical algorithms, in ANFIS. Therefore the ANFIS  is bandwidth efficient algorithm. Ill. 4, bibl. 15, tabl. 1 (in English; abstracts in English and Lithuanian).

DOI: http://dx.doi.org/10.5755/j01.eee.120.4.1458

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Published

2012-04-03

How to Cite

Seyman, M. N., & Taspinar, N. (2012). MIMO-OFDM Channel Estimation Using ANFIS. Elektronika Ir Elektrotechnika, 120(4), 75-78. https://doi.org/10.5755/j01.eee.120.4.1458

Issue

Vol. 120 No. 4 (2012)

Section

SIGNAL TECHNOLOGY

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