Title: Logarithmic cost-based improved constant modulus type blind channel equalisation algorithm for M-QAM/M-PSK signal

Authors: Prakhar Priyadarshi; Chandra Shekhar Rai

Addresses: University School of Information and Communication Technology, GGS Inderprastha University, New Delhi, India ' University School of Information and Communication Technology, GGS Inderprastha University, New Delhi, India

Abstract: In this paper, authors have proposed the blind channel equalisation algorithm based on logarithmic cost function for QAM/PSK signal which is widely used in the digital communication system. Constant modulus algorithm (CMA) and modified constant modulus algorithm (MCMA), the two widely referenced algorithms for blind equalisation of a QAM/PSK signal, exhibit very slow convergence rates and large steady-state mean square error. The proposed algorithm attains faster convergence speed and low steady state mean square error by incorporating the improved logarithmic cost-based error function in the resilient back propagation-based framework. This makes the weight adaption of equaliser simple. Simulation results show that the proposed algorithm has better convergence rate and lower steady state error in comparison to CMA and MCMA algorithms.

Keywords: equalisation; logarithmic cost function; RPROP; constant modulus algorithm; CMA; modified constant modulus algorithm; MCMA.

DOI: 10.1504/IJDSSS.2018.097307

International Journal of Digital Signals and Smart Systems, 2018 Vol.2 No.3, pp.202 - 214

Received: 01 Feb 2018
Accepted: 17 Apr 2018
Published online: 14 Jan 2019 *

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