Blind decoding of Linear Gaussian channels with ISI, capacity, error exponent, universality
L\'or\'ant Farkas
TL;DR
This paper introduces a universal blind decoding algorithm for linear Gaussian channels with ISI, providing a new error exponent that surpasses Gallager's, advancing the understanding of channel capacity and error performance.
Contribution
It presents a novel blind decoding method for linear Gaussian channels with ISI and derives an improved error exponent, enhancing decoding efficiency and theoretical bounds.
Findings
New universal blind decoding algorithm for Gaussian channels with ISI
Derived error exponent exceeds Gallager's bounds
Demonstrated improved decoding performance
Abstract
A new straightforward universal blind detection algorithm for linear Gaussian channel with ISI is given. A new error exponent is derived, which is better than Gallager's random coding error exponent.
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Taxonomy
TopicsBlind Source Separation Techniques · Advanced Wireless Communication Techniques · Wireless Communication Networks Research