Mitigation of impulsive noise in digital video broadcasting terrestrial using orthogonal polarization reception

Torío, Pablo; Sánchez, Manuel García

doi:10.1109/tce.2009.5373734

Cited by 11 publications

(3 citation statements)

References 14 publications

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“…However, in modulations that use multiple carriers, a single noise peak, present only in a sample of a single symbol, spreads to all subsymbols, due to the processing of the FFT (Fast Fourier Transform). FFT is ideal in AWGN situation and impulsive noise may cause an error to all of them if their power peak is high enough and consequently the detection and correction mechanisms lose their effectiveness [41].…”

Section: G Impulsive Noise Mitigationmentioning

confidence: 99%

Deterministic Chaotic Propagation Model

Botelho,

Akamine,

Lopes

2023

IEEE Access

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Coverage prediction is an essential method of planning broadcast and long-range wireless communication systems, minimizing the need for field measurements to adjust the coverage area and consequently reducing the time and cost of implementation. Coverage prediction methods use statistical simplifications in conjunction to uncertainty quantification algorithms to assist in modeling multipath effects and impulsive noise, notably hard to be statistically considered. This paper presents a new approach to represent electromagnetic wave propagation uncertainties based on chaotic dynamical systems to model the behavior of multipath effect and impulsive noise. A novel Deterministic Chaotic Propagation Model (DCPM) is presented and used to predict coverage area in a DVB-T2 broadcast system in diverse transmission environments. The results indicate that the predicted area of bad reception is smaller in comparison to the one obtained using traditional methods. Therefore, fewer signal repeaters can be used to provide good TV reception in this area, causing a significant cost reduction in the set-up of a broadcast system. Another parameter used to evaluate the quality of reception is the carrier to noise power ratio (C/N) threshold for a bit error rate (BER) of 10-7 . The DCPM indicate a C/N threshold equal to 13.7 dB in dense urban environment and 13.4 dB in rural environment using a moderately less robust modulation configuration. Employing a more robust configuration, the C/N threshold is equal to 0.9 dB in all environments. These numbers match the obtained by the traditional propagation models.

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Section: G Impulsive Noise Mitigationmentioning

confidence: 99%

Deterministic Chaotic Propagation Model

Botelho,

Akamine,

Lopes

2023

IEEE Access

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“…In particular, the empirical model based on the measurement results of [86] adopted similar techniques to those detailed in Section III-B, while the Bernoulli-Gaussian model, the Middleton's Class A model and the partitioned Markov chain model were adopted in [141], [238], and [73], respectively, which can be understood with the aid of Section III-C1 and Section III-B5. A number of research contributions have been proposed for tackling the noise issue in wireless communications, including erasure decoding [141], nonlinear pre-processing [239], compressedsensing-aided noise mitigation [238], and sophisticated symbol detection [240], which have been covered in Section IV. The optimal Pareto-font collecting all optimal solutions may be conceived with the aid of Table IV in future research.…”

Section: Extensions To Other Communications Areasmentioning

confidence: 99%

Fifty Years of Noise Modeling and Mitigation in Power-Line Communications

Bai

Zhang

Wang

et al. 2021

IEEE Commun. Surv. Tutorials

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Building on the ubiquity of electric power infrastructure, power line communications (PLC) has been successfully used in diverse application scenarios, including the smart grid and in-home broadband communications systems as well as industrial and home automation. However, the power line channel exhibits deleterious properties, one of which is its hostile noise environment. This article aims for providing a review of noise modeling and mitigation techniques in PLC. Specifically, a comprehensive review of representative noise models developed over the past fifty years is presented, including both the empirical models based on measurement campaigns and simplified mathematical models. Following this, we provide an extensive survey of the suite of noise mitigation schemes, categorizing them into mitigation at the transmitter as well as parametric and nonparametric techniques employed at the receiver. Furthermore, since the accuracy of channel estimation in PLC is affected by noise, we review the literature of joint noise mitigation and channel estimation solutions. Finally, a number of directions are outlined for future research on both noise modeling and mitigation in PLC. Index Terms-Power-line communications, background noise, impulsive noise, narrow-band interference, noise modeling and mitigation techniques. I. INTRODUCTION A. Power-Line Communications Power-line communications (PLC) has been considered as a means of data transmission since the late 19th century [1, Ch. 1]. Early applications include narrow-band voice and data communications over both medium-and high-voltage power lines for telemetry, telecontrol and teleprotection purposes, as the predecessors of to contemporary smart grid communications [2]-[6]. However, communications over power-lines have not received wider attention until the late 1990s [7], when both the telecommunications services and the electricity industry T. Bai, M. Elkashlan and A. Nallanathan are with the School of Electronic Engineering and Computer Science,

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“…15 shows. For DVB-T, the use of orthogonal polarization has been employed to other purposes, such as mitigate impulse noise [26], but few measurements are applied for MIMO.…”

Section: Measurementsmentioning

confidence: 99%

A 2$\times$2 MIMO DVB-T2 System: Design, New Channel Estimation Scheme and Measurements With Polarization Diversity

Gómez-Calero¹,

Navarrete²,

Haro³

et al. 2011

IEEE Trans. on Broadcast.

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The increasing interest in MIMO (Multiple-Input Multiple-Output) systems has given rise to a prolific research activity in recent years. Both theoretical and practical issues have been studied. However, so far few MIMO testbeds or prototypes have been built for DVB-T or future standards. In this paper, a novel 2 2 MIMO testbed specifically designed for evaluating the performances of a DVB-T2 MIMO system is presented. The description of signal processing is detailed including a new scheme to estimate the MIMO channel matrix. Finally, measurement results with different polarization schemes are presented for typical scenarios, obtaining higher capacity in LoS situations using polarization diversity.Index Terms-Field trials and test results, multiple-input multiple-output, signal processing for transmission.

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Mitigation of impulsive noise in digital video broadcasting terrestrial using orthogonal polarization reception

Cited by 11 publications

References 14 publications

Deterministic Chaotic Propagation Model

Deterministic Chaotic Propagation Model

Fifty Years of Noise Modeling and Mitigation in Power-Line Communications

A 2$\times$2 MIMO DVB-T2 System: Design, New Channel Estimation Scheme and Measurements With Polarization Diversity

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