Performance limitations of a 2×2 MIMO power line communication system impaired by non-white impulsive and non-Gaussian power line noise

Tahsien, Syeda Manjia; Mahmud, Asif; Jahan, Nowrin; Islam, Rakibul; Majumder, S. P.

doi:10.1109/ictp.2015.7427959

Cited by 1 publication

(1 citation statement)

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“…However, in many practical systems, the noise profile can also be characterized by the presence of outliers, which characterize a non-Gaussian channel [8], [9]. In fact, according to [10]- [12], there is a significant deterioration in system performance due to the influence of non-Gaussian noise, which directly affects the methods based on the second-order statistical moments.…”

Section: Introductionmentioning

confidence: 99%

A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

et al. 2019

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In cellular systems, information signals must be transmitted at high rates and with high reliability. One of the possible solutions to meet such criteria is the use of systems with multiple transmitting and/or receiving antenna arranged in the form of a multiple-input, multiple-output (MIMO) system. However, signal processing techniques in MIMO systems are developed under the assumption of transmission on Gaussian channels, which may lead to the decrease of efficiency in non-Gaussian communication scenarios. In this context, the widespread use of MIMO systems in recent years has motivated the development of new processing techniques that can be employed in scenarios that also consider the presence of non-Gaussian noise in communication channels. This work proposes a novel signal detection technique for MIMO systems, which is called maximum correntropy detector (MCD), being adequate to environments characterized by Gaussian and non-Gaussian noise. The introduced approach is based on complex correntropy function and can be seen as a generalization of the maximum likelihood detector (MLD) concept. The MCD is evaluated on Gaussian and non-Gaussian channels, where superior performance is achieved when compared with the classic detectors, without significant increase of the computational complexity.

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Section: Introductionmentioning

confidence: 99%