Title: Weighted neuro-fuzzy hybrid algorithm for channel equalisation in time varying channel

Authors: Zeeshan Ahmad Abbasi; Zainul Abdin Jaffery

Addresses: Department of Electronics and Communication Engineering, University Polytechnic, Jamia Millia Islamia, Jamia Nagar, New Delhi 110013, India ' Department of Electrical Engineering, Jamia Millia Islamia, Jamia Nagar, New Delhi 110013, India

Abstract: In MIMO-OFDM communication systems, accurate and specific channel estimation and equalisations are plays a major role. In this paper, we use weighted neuro-fuzzy hybrid (WNFH) channel estimation algorithm for channel equalisation. The pilot is designed based on combination of neural network and fuzzy logic system. Scaled conjugate gradient (SCG) is mutual with group search optimiser (GSO) algorithm along with; the training procedure of neural network is prepared using the hybrid training algorithm. In the transmitter section, the projected system contains quadrature amplitude modulation (QAM) and transmitter. By considering the channel prediction error to recover the performance of symbol detection the minimum mean-square error (MMSE) estimation design is accomplished. To reduce the MMSE of channel estimation and the calculated pilot sequences present great superiority in MIMO-OFDM system. Experimentation outcome shows that the channel assessment is supportive.

Keywords: MIMO-OFDM; group search optimiser; GSO; scaled conjugate gradient; SCG; channel estimation.

DOI: 10.1504/IJBIDM.2020.108767

International Journal of Business Intelligence and Data Mining, 2020 Vol.17 No.2, pp.237 - 257

Received: 31 Mar 2017
Accepted: 08 Dec 2017
Published online: 03 Aug 2020 *

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