2010
DOI: 10.1007/978-3-642-16444-6_41
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Measurements and Modeling of Noise on 22.9-kV Medium-Voltage Underground Power Line for Broadband Power Line Communication

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Cited by 4 publications
(7 citation statements)
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“…In the work of Meng et al, noise spectrum was measured in the frequency range of 1 to 30 MHz in laboratory and residential environment, and it was concluded that the Nakagami‐ m distribution very closely models the envelope of the background noise. The experimental results in the works of Tao et al and Lee et al5 also support the Nakagami‐ m distributed nature of the PLC background noise. Using the Nakagami‐ m additive background noise model, the average bit error rate (BER) of a PLC system was derived for binary phase shift keying (BPSK) modulated signals in the work of Mathur and Bhatnagar .…”
Section: Introductionsupporting
confidence: 60%
See 2 more Smart Citations
“…In the work of Meng et al, noise spectrum was measured in the frequency range of 1 to 30 MHz in laboratory and residential environment, and it was concluded that the Nakagami‐ m distribution very closely models the envelope of the background noise. The experimental results in the works of Tao et al and Lee et al5 also support the Nakagami‐ m distributed nature of the PLC background noise. Using the Nakagami‐ m additive background noise model, the average bit error rate (BER) of a PLC system was derived for binary phase shift keying (BPSK) modulated signals in the work of Mathur and Bhatnagar .…”
Section: Introductionsupporting
confidence: 60%
“…We assume a PLC system wherein BPSK modulated signals, s (from the signal set, ± S ) are transmitted. It has been experimentally verified that the background noise in PLC follows the Nakagami‐ m distribution . The impulsive noise is modeled using the Middleton class A distribution .…”
Section: Plc System Descriptionmentioning
confidence: 99%
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“…The additive noise in PLC has been categorized into background and impulsive noise . The background and impulsive noise in PLC have been modeled as Nakagami‐m distribution and the Middleton class A distribution, respectively. Apart from that, it has been shown in the works of Ma et al and Di Bert et al that the effects of both background and impulsive noise on the PLC channel can be well modeled using Bernoulli‐Gaussian distribution.…”
Section: Introductionmentioning
confidence: 99%
“…All too often these circuits affect each other adversely. The electromagnetic interference has become a serious problem for circuit designers, and it is becoming more severe in these days [1,2]. With this motivation, this study starts by the electromagnetic compatibility between intentional radiators, then the electromagnetic compatibility between intentional radiators and non-intentional radiators (all the other electronic subsystem and electromechanical equipment), and it ends with the electromagnetic compatibility between non-intentional radiators.…”
Section: Introductionmentioning
confidence: 99%