Robust blind spectral estimation in the presence of non-Gaussian noise

Kees, Joel T.; Ernst, Joseph M.; Headley, William C.; Beex, A.A.

doi:10.1109/milcom.2017.8170868

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…As shown in Figure 17, the power spectral density of the noises produced by summations of all the appliances connected to the network were estimated using welch method. Different methods can be used for generating a noise PSD, among which are; periodogram and welch methods [18]. The periodogram is computed by taking Fourier Transform of the time and squaring the output.…”

Section: Resultsmentioning

confidence: 99%

A Time Domain Noise Measurement and Analysis for Broadband Indoor Power Line Communications

Adegoke¹,

Oluwafemi²,

Akinsanmi³

2020

I2M

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The power line communication (PLC) channel is mainly affected by noise that is either caused by appliances or induced into channel from external source. The effects of those noises on transmission network constitute major problem that must be tackled. In this paper, a time domain noise measurement and characterization is presented. A design measurement system was set up that captured the noise in time domain for real indoor power line communication. Noise samples were captured with four channel digital storage oscilloscope (DSO) GDS-1052-U with two inputs channels. The time domain noise measurement is presented together with its statistical analysis based on numerous measurement campaigns in different laboratories at Afe Babalola University Ado Ekiti Nigeria, within three months; October, November and early December 2019. The measurement was taken between the hours of 8am-6pm, Monday -Saturday. Those days were equally distributed over three months of investigation. The measurement was carried out when all the electrical loads were running. The parameters of the noise measurements in terms of its duration, amplitude, impulsive and background noise voltage were examined. We compare our results to that of literatures; in comparison, the disparity with respect to durations and amplitude (mean and standard deviation) is quite significant.

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Section: Resultsmentioning

confidence: 99%

A Time Domain Noise Measurement and Analysis for Broadband Indoor Power Line Communications

Adegoke¹,

Oluwafemi²,

Akinsanmi³

2020

I2M

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show abstract

“…Those outliers can prohibit an accurate estimation of the prevailing noise level, thus, limiting the scope of the WOSA estimator [2]. A possible solution, which has proven to be successful in several spectral estimation applications (see for example [3,4,5,6]), is to take the median of the periodograms at each frequency bin instead of the arithmetic mean. This can be regarded as a special case of a more general Welch estimator that uses sample percentiles, in the following referred to as Welch percentile (WP) estimator.…”

Section: Introductionmentioning

confidence: 99%

Statistical Properties of a Modified Welch Method That Uses Sample Percentiles

Schwock

Abadi

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We present and analyze an alternative, more robust approach to the Welch's overlapped segment averaging (WOSA) spectral estimator. Our method computes sample percentiles instead of averaging over multiple periodograms to estimate power spectral densities (PSDs). Bias and variance of the proposed estimator are derived for varying sample sizes and arbitrary percentiles. We have found excellent agreement between our expressions and data sampled from a white Gaussian noise process.

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Definition of the Statistical Characteristics of the Signal under Influence of Additive and Multiplicative Noise

Artyushenko

Volovach

2022

2022 24th International Conference on Digital Signal Processing and Its Applications (DSPA)

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Robust blind spectral estimation in the presence of non-Gaussian noise

Cited by 4 publications

References 14 publications

A Time Domain Noise Measurement and Analysis for Broadband Indoor Power Line Communications

A Time Domain Noise Measurement and Analysis for Broadband Indoor Power Line Communications

Statistical Properties of a Modified Welch Method That Uses Sample Percentiles

Definition of the Statistical Characteristics of the Signal under Influence of Additive and Multiplicative Noise

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