Noise Modeling and OFDM Receiver Design in Power-Line Communication

Guzel, Tayyar; Ustunel, Eser; Celebi, Hasari; Delic, H.; Mihcak, Kivanc

doi:10.1109/tpwrd.2011.2164814

Cited by 27 publications

(16 citation statements)

References 13 publications

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“…• Models based on fitting the statistical properties of powerline noise at the input of the hard decision device of a digital receiver [19], [23]. The selected classes of models deserve the following comments:…”

Section: Power-line Noise Modelsmentioning

confidence: 99%

“…Unfortunately, experimental data have evidence that such rvs are not Gaussian [12], [14], [17], [19], [20]. However, in many cases, a Gaussian mixture (GM) [35,Ch.…”

Section: A Models Based On Pdf Fittingmentioning

confidence: 99%

“…In addition, its parameters can be easily estimated resorting to the expectation maximization (EM) algorithm [38]. In principle, other distributions, such as the Nakagami [17]; the Middleton class A [26], [27]; and the generalized Gaussian [19] distributions, could be employed to model power-line noise samples; however, in our investigation, such models have been discarded for the following reasons:…”

Section: A Models Based On Pdf Fittingmentioning

confidence: 99%

“…Other contributions in this research field have aimed at providing an accurate characterization of the probability density function (PDF) of the impulsive component of powerline noise [13], [18]- [20]. It is also worth mentioning that in most of the available technical literature, the parameters of the proposed noise models are extracted from a set of experimental data; then, the impact of such models on the performance of specific PLC systems is assessed by means of computer simulations [9], [11], [13], [18], [19], [21].…”

Section: Introductionmentioning

confidence: 99%

“…in [19] to model the noise affecting each subcarrier of an OFDM system which employs binary phase-shift keying (BPSK) (i.e., a monodimensional constellation) on each subcarrier. When bidimensional constellations (e.g., square constellations) are used, bivariate modeling is required to describe the joint statistical behavior of the in-phase and quadrature components of (complex) noise.…”

Section: ) the Generalized Gaussian Model Has Been Introducedmentioning

confidence: 99%

See 4 more Smart Citations

The Impact of Statistical Noise Modeling on the Error-Rate Performance of OFDM Power-Line Communications

Gianaroli

Pancaldi

Vitetta

2014

IEEE Trans. Power Delivery

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In this paper, the impact of statistical noise modelling on the error performance achieved by orthogonal frequency-division multiplexing (OFDM) over indoor broadband power-line channels is investigated. Different classes of statistical models suitable to represent power-line noise are illustrated and their impact on the error performance of a specific OFDM system is assessed via computer simulations. Numerical results are compared with the error performance provided by the same system in the presence of measured power-line noise; this is evidence that a realistic indication of error performance can be achieved only if the power spectral density of the adopted noise model exhibits a good match with that of the measured noise. In practice, this result can be achieved by modeling the power-line noise as a moving average random process of proper order; however, a satisfying match can be achieved as well if other simple noise models available in the technical literature are adopted

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Section: Power-line Noise Modelsmentioning

confidence: 99%

“…Unfortunately, experimental data have evidence that such rvs are not Gaussian [12], [14], [17], [19], [20]. However, in many cases, a Gaussian mixture (GM) [35,Ch.…”

Section: A Models Based On Pdf Fittingmentioning

confidence: 99%

Section: A Models Based On Pdf Fittingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: ) the Generalized Gaussian Model Has Been Introducedmentioning

confidence: 99%

See 3 more Smart Citations

The Impact of Statistical Noise Modeling on the Error-Rate Performance of OFDM Power-Line Communications

Gianaroli

Pancaldi

Vitetta

2014

IEEE Trans. Power Delivery

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Research on the memory order of the power‐line communication channel

Zhai

2014

Int J Communication

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As a memory channel, power-line communication (PLC) channel can be modeled by the finite states Morkov model. The memory order in an finite states Morkov model is a key parameter, which is not solved in PLC systems yet. In the paper, the mutual information is used as a measure of the dependence between the different symbols, treated as the received scalar network analyzer, or amplitude of the current channel symbol or that of previous symbols. The joint distribution probabilities of the envelopes in PLC systems are computed based on the multi-path channel model, which is commonly used in PLC. With the first-order Markovian assumption, we confirm that given the information of the symbol immediately preceding the current one, any other previous symbol is independent of the current one in PLC systems. The field test is also performed to model the received OFDM signals with the help of autoregressive model. The results show that the firstorder autoregressive model is enough to model the fading channel in PLC systems, which means the amount of uncertainty remaining in the current symbol should be negligible, given the information corresponding to the immediately preceding one. POWERLINCE COMMUNICATIONS FIRST-ORDER MARKOV CHANNELS 1069 noisy communications channel, which isn't favorable for the high-frequency communications signal transmission with frequency ranging 0 -30 MHz [7].Because of its ubiquity of already existing electrical power delivery networks, PLC is susceptible to numerous appliances and power networks [8]. Several studies have shown that the PLC channel is impaired by different types of noise, which are mostly produced by the electrical appliances in the networks [9]. The isolator switching or breaker in the grids can cause impulse noise [10]: The broadcast transmitters operating at frequencies higher than a few hundred kilohertz, can ingress the narrow band noise, mostly amplitude modulated sinusoidal signals [11,12]; The switching actions of silicon-controlled rectifier diodes found in many electrical appliances, brush motors, dimmer switches, and industrial sources directly connected to the supply network can cause periodic impulsive noise synchronous to the mains frequency [13]; The switched-mode power supplies can result periodic impulsive noise asynchronous to the mains frequency, with a short duration, random occurrence, and a high-power spectral density [14]; Switching transients in the power network can cause asynchronous impulsive noise.Because the impulsive noise is actually produced by appliances in the power network, the powerline noise can also be regarded as a combined sum of the background noise and the impulsive noises from all nearby appliances [15]. In addition to the behaviors of appliances, channel characteristics between the noise sources and a receiver may vary synchronously to the mains voltage [16]. This channel fluctuation also causes the periodic features of the noise [17]. As a result, PLC channels can be seen as typical noisy channels.Like other noisy channels, the PLC chan...

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Distributed space‐time block codes with embedded adaptive AAF/DAF elements and opportunistic listening for multihop power line communication networks

Tseng

Lee

et al. 2015

Int J Communication

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SUMMARYWe consider the multihop power line communication (PLC) networks of one source, two repeaters, and one destination. In the previous scheme, when the repeaters receive the retransmission data from the source, they use the traditional distributed space-time block code (DSTBC) with all decode-and-forward (DAF) elements to transmit the data, and they do not consider the incorrect decoding. The original contribution is that we propose a novel DSTBC scheme with embedded adaptive DAF/amplify-and-forward (AAF) elements for data retransmission in multihop PLC networks with existing opportunistic listening (OL) protocols. The new scheme has two types (instead of only one type as in the previous scheme), and, in the second type, the coding matrix for data retransmission can use either all DAF elements or hybrid AAF/DAF elements depending on the correctness of OL results. The advantage is to avoid a loss of diversity because of incorrectly received data at the relays. The effectiveness of the proposed scheme is shown in the simulation results. For the impulsive noise parameter δ = 0.8 and worst case background noise (narrowband interference and colored noise) at bit error rate 10 À3 , our proposed system has 1 dB gain over the previous scheme with the traditional DSTBC with all DAF elements.

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Noise Modeling and OFDM Receiver Design in Power-Line Communication

Cited by 27 publications

References 13 publications

The Impact of Statistical Noise Modeling on the Error-Rate Performance of OFDM Power-Line Communications

The Impact of Statistical Noise Modeling on the Error-Rate Performance of OFDM Power-Line Communications

Research on the memory order of the power‐line communication channel

Distributed space‐time block codes with embedded adaptive AAF/DAF elements and opportunistic listening for multihop power line communication networks

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