Channel estimation using an adaptive neuro fuzzy inference system in the   OFDM-IDMA system

Necmi TAŞPINAR; Şakir ŞİMŞİR

Article Details

Channel estimation using an adaptive neuro fuzzy inference system in the OFDM-IDMA system

Authors:

Necmi TAŞPINAR | Şakir ŞİMŞİR

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 1, pp.352-364

Document Type:

Article

Publication Date:

1/2017

Document Language:

Turkish

Document ID (Org No.):

2000741234

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

In this paper, a channel estimator based on an adaptive neuro fuzzy   inference system (ANFIS) is proposed for the purpose of estimating channel   frequency responses in orthogonal frequency division multiplexing-interleave   division multiple access (OFDM-IDMA) systems. To see the performance of our   proposed channel estimation method, five different techniques including   well-known pilot-based estimation algorithms such as least squares (LS) and   minimum mean square error (MMSE) with other heuristic methods like   multilayered perceptron (MLP) trained by a backpropagation (BP) algorithm   (MLP-BP), MLP trained by the Levenberg--Marquardt (LM) algorithm (MLP-LM),   and radial basis function neural network (RBFNN) are compared with our   proposed method by computer simulations. The comparisons are made with the   aid of bit error rate and mean square error graphs. According to the   simulation results, our proposed channel estimator based on ANFIS shows   better performance than both the LS algorithm and the other considered   heuristic methods like MLP-BP, MLP-LM, and RBFNN, whereas the MMSE algorithm   still shows the best performance as expected because of exploiting channel   statistics and noise information, which makes it very complex to be used in   any system. As well as being less complex compared to the MMSE algorithm,   the estimator based on ANFIS does not need pilot tones for channel   estimation. These properties bring our proposed method to an advantageous   position among the other estimation techniques.

Article Details

Channel estimation using an adaptive neuro fuzzy inference system in the OFDM-IDMA system

Authors: Necmi TAŞPINAR | Şakir ŞİMŞİR

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 1, pp.352-364

Document Type: Article

Publication Date: 1/2017

Document Language: Turkish

Document ID (Org No.): 2000741234

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Necmi TAŞPINAR | Şakir ŞİMŞİR

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 1, pp.352-364

Document Type:

Article

Publication Date:

1/2017

Document Language:

Turkish

Document ID (Org No.):

2000741234

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632