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Open AccessArticle

A Novel Technique for Achieving the Approximated ISI at the Receiver for a 16QAM Signal Sent via a FIR Channel Based Only on the Received Information and Statistical Techniques

Department of Electrical and Electronic Engineering, Ariel University, Ariel 40700, Israel
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Entropy 2020, 22(6), 708; https://doi.org/10.3390/e22060708
Received: 26 May 2020 / Revised: 21 June 2020 / Accepted: 24 June 2020 / Published: 26 June 2020
(This article belongs to the Special Issue Entropy: The Scientific Tool of the 21st Century)
A single-input-multiple-output (SIMO) channel is obtained from the use of an array of antennas in the receiver where the same information is transmitted through different sub-channels, and all received sequences are distinctly distorted versions of the same message. The inter-symbol-interference (ISI) level from each sub-channel is presently unknown to the receiver. Thus, even when one or more sub-channels cause heavy ISI, all the information from all the sub-channels was still considered in the receiver. Obviously, if we know the approximated ISI of each sub-channel, we will use in the receiver only those sub-channels with the lowest ISI level to get improved system performance. In this paper, we present a systematic way for obtaining the approximated ISI from each sub-channel modelled as a finite-impulse-response (FIR) channel with real-valued coefficients for a 16QAM (16 quadrature amplitude modulation) source signal transmission. The approximated ISI is based on the maximum entropy density approximation technique, on the Edgeworth expansion up to order six, on the Laplace integral method and on the generalized Gaussian distribution (GGD). Although the approximated ISI was derived for the noiseless case, it was successfully tested for signal to noise ratio (SNR) down to 20 dB. View Full-Text
Keywords: maximum entropy density approximation; Edgeworth expansion; lagrange multipliers; generalized Gaussian distribution (GGD); inter-symbol-interference (ISI) maximum entropy density approximation; Edgeworth expansion; lagrange multipliers; generalized Gaussian distribution (GGD); inter-symbol-interference (ISI)
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Goldberg, H.; Pinchas, M. A Novel Technique for Achieving the Approximated ISI at the Receiver for a 16QAM Signal Sent via a FIR Channel Based Only on the Received Information and Statistical Techniques. Entropy 2020, 22, 708.

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