Fundamental performance limits of communications systems impaired by impulse noise

Pighi, R.; Franceschini, Michele; Ferrari, Gianluigi; Raheli, R.

doi:10.1109/tcomm.2009.0901.060440

Cited by 87 publications

(30 citation statements)

References 41 publications

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“…The origination of the impulse noise can be quite different, such as from electromagnetic interference (EMI), atmospheric noise, man-made noise, etc. This kind of noise is characterized by random bursts of relatively short duration and very high instantaneous power [4]. The goal of this paper is to understand how the different parameters of the impulse noise affect the communication performance.…”

Section: Related Workmentioning

confidence: 99%

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BER Analysis for Controller Area Network Impaired by the Impulse Noise in Cyber-Physical Systems

Shen

Zhou

Wang

2014

2014 IEEE International Conference on Computer and Information Technology

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The physical space and the cyber space are deeply coupled in Cyber-physical systems (CPS). The computing components and the physical components are connected via the communication network. However, highly dynamics of the physical environments may lead to unpredictable performance of the network. In order to achieve the best synthesized performance of CPS, the physical impairments on communication must be quantitatively analyzed carefully. The paper introduces a mathematical model of the impulse noise under the realistic channels. The model takes different parameters of the impulse noise into consideration, especially the impulse width. The probability density function of the receiving signals embracing the impact of the noise is derived. Then the model is applied to Controller Area Network (CAN). The relations between the bit error rate (BER) of CAN and the parameters of the impulse noise, which is not well addressed in previously published studies, are established. Compared with the existing models of the impulse noise, the new model not only includes most of these models, but considers the bursty nature of the impulse noise. The results of the quantitative analysis under different physical scenarios are helpful to improve the synthesized performance of CPS via accurate compensation mechanisms.

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Section: Related Workmentioning

confidence: 99%

“…In fact, the model is an accurate model to represent natural impulse noise and considered as a good approximation for Class-A noise model [4].…”

Section: Related Workmentioning

confidence: 99%

BER Analysis for Controller Area Network Impaired by the Impulse Noise in Cyber-Physical Systems

Shen

Zhou

Wang

2014

2014 IEEE International Conference on Computer and Information Technology

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“…For more details, readers can refer to Chapter 5 in [14] and the references therein. Performance limits for communication systems corrupted by the impulsive noise are meticulously derived in [10], [15], which provides insights This is the Pre-Published Version into the capacity loss incurred for any robust detection schemes such as the ones in [16], [17].…”

Section: A Related Workmentioning

confidence: 99%

“…Noteworthily, as also revealed in [5], This is the Pre-Published Version an OFDM system is outperformed by its single-carrier counterpart in terms of uncoded symbol error probability in the context of significant impulsive noise energy coupled with moderately or severely high probability of occurrence of impulses. Another study [10] has shown that the information rate of OFDM systems is lower than that of their single-carrier counterparts except for systems operating at a very high spectral efficiency. All these facts motivate us to investigate the coded single-carrier narrowband communication system subject to frequent occurrence of impulses, of which the average power is much greater than that of the background noise.…”

Section: Introductionmentioning

confidence: 99%

Robust Decoding for Convolutionally Coded Systems Impaired by Memoryless Impulsive Noise

Tseng

Han

Mow

et al. 2013

IEEE Trans. Commun.

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It has been known that communication systems are susceptible to strong impulsive noises. To combat this, convolutional coding has long served as a cost-effective tool in the context of moderately frequent occurrence of memoryless impulses with given statistics. Nevertheless, the impulsive noise statistics is hard to be accurately modeled and is generally not time-invariant, making the respective system design challenging. In this article, in the absence of full knowledge of the probability density function (PDF) of impulsive noises, we devise an efficient decoding scheme for single-carrier narrowband communication systems by incorporating a design parameter into the recently introduced joint erasure marking and This is the Pre-Published Version 2 Viterbi decoding algorithm, dubbed the metric erasure Viterbi algorithm (MEVA). The proposed scheme is equivalent to incorporating a well-designed clipping operation into the Viterbi algorithm, of which the clipping threshold has to be appropriately set. In contrast with existing publications that often resort to extensive simulations, we characterize the bit error probability performance associated with the clipping threshold by deriving its Chernoff bound. Simulation results reveal that with a judicious selection of the clipping threshold, the MEVA can be on par with its optimal maximum-likelihood decoding counterpart under fairly general circumstances.

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“…Impulsive noise is also observed in wireless fading channels, such as urban and indoor radio channels [4], cognitive radio [5], [6], as well as open spectrum access schemes [7]. Among various statistical models of the impulsive noise such as Bernoulli-Gaussian (BG) noise [8], [9], Gaussian-Mixture noise [10] and Middleton Class-A, Class-B, Class-C [11], the BG noise is of practical interest, due to its accuracy it approximating the impulsive behavior for various communication channels [9], [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Estimating information rates of Bernoulli-Gaussian impulsive noise channels in Rayleigh fading

Tran

Nguyen

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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This paper presents simple methods to tightly estimate the information rate achieved by a Gaussian input and the constrained capacity of a finite-alphabet input of a Bernoulli-Gaussian (BG) impulsive noise channel in Rayleigh fading. Specifically, under the assumption of a Gaussian input, we propose a novel approach to calculate the achievable rate by examining the instantaneous output entropy in two regions of channel gains. In the high-gain region, the rate is evaluated via an upper bound obtained under the Gaussian output assumption. In the other region, we apply the piecewise-linear curve fitting (PWLCF) method to estimate the rate. It is then demonstrated that the information rate achieved by Gaussian inputs can be effectively calculated with a pre-determined accuracy. For a finitealphabet input, we detail a PWLCF-based method to estimate the constrained capacity. In particular, we first propose a numerical technique to calculate the instantaneous output entropy using 2-dimensional Gauss-Hermite quadrature formulas. The average output entropy is then obtained using PWLCF. Combined with the closed-form expression the entropy of the BG impulse noise, an accurate estimation of the constrained capacity is finally established.

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Fundamental performance limits of communications systems impaired by impulse noise

Cited by 87 publications

References 41 publications

BER Analysis for Controller Area Network Impaired by the Impulse Noise in Cyber-Physical Systems

BER Analysis for Controller Area Network Impaired by the Impulse Noise in Cyber-Physical Systems

Robust Decoding for Convolutionally Coded Systems Impaired by Memoryless Impulsive Noise

Estimating information rates of Bernoulli-Gaussian impulsive noise channels in Rayleigh fading

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