Title: TSK type self-organising online fuzzy equalisation to mitigate nonlinear power amplifier distortions in OFDM systems

Authors: Seemanti Saha; Saswat Chakrabarti; Sant Saran Pathak

Addresses: G.S. Sanyal School of Telecommunication, Indian Institute of Technology Kharagpur, Kharagpur-721302, India ' G.S. Sanyal School of Telecommunication, Indian Institute of Technology Kharagpur, Kharagpur-721302, India ' Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur-721302, India

Abstract: This paper presents a first order Takagi-Sugeno-Kang (TSK) type self-constructing, adaptive, online, transversal, fuzzy equaliser to mitigate nonlinear power amplifier distortion effects from received signal in orthogonal frequency division multiplexing (OFDM) systems. Here, the proposed SOTSKFS equaliser, that attempts to compensate the nonlinear distortions in single-antenna and/or multi-antenna OFDM systems, produces most compact fuzzy rule base with less number of rules in comparison to other online fuzzy equalisers, viz. FSCFNN and SCRFNN. Computer simulations show improved bit-error-rate (BER) and mean-square-error (MSE) performances of this proposed evolving fuzzy equalisation technique, when compared to that of the latest power amplifier nonlinearity cancellation techniques in OFDM receiver.

Keywords: Takagi-Sugeno-Kang fuzzy systems; TSK-FS; orthogonal frequency division multiplexing; OFDM; self-organising equalisation; power amplifier nonlinearity; online rule generation; nonlinear distortions; power amplifier distortions; simulation; bit error rate; BER; mean square error; MSE; fuzzy equalisation.

DOI: 10.1504/IJAACS.2015.067697

International Journal of Autonomous and Adaptive Communications Systems, 2015 Vol.8 No.1, pp.23 - 41

Received: 18 Dec 2011
Accepted: 13 Oct 2012
Published online: 21 Mar 2015 *

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