Statistical-physical models of man-made and natural radio noise

part IV, Determination of the first-order parameters of class A and B interference
  • 52 Pages
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by
Dept. of Commerce, National Telecommunications and Information Administration, Institute for Telecommunication Sciences , Boulder, Colo
Noise pollution., Radio -- Interfer
StatementD. Middleton.
SeriesNTIA-CR ; 78-2, NTIA contractor reports -- NTIA-CR #78-2.
ContributionsInstitute for Telecommunication Sciences.
The Physical Object
Paginationvi, 52 p. :
ID Numbers
Open LibraryOL18013930M

The development of analytically tractable, experimentally verifiable, statistical physical models of electromagnetic interference is described. Classification into three major types of noise is made: class A (narrowband vis-a-vis the receiver), class B (broadband vis-a-vis the receiver), and class C (= class A + class B).Cited by: tically tractable models of man-made and natural radio noise, based on the pertinent statistical-physics and possessing a canonical structure, invariant of any particular source mechanisms.

STATISTICAL-PHYSICAL MODELS OF MAN-MADE AND NATURAL RADIO NOISE Part IV: Determination of the First-Order Parameters of Class A and B Interference* by David Middleton** ABSTRACT Methods of determining the first-order parameters of both the approxi­ mate and exact Class A and B noise models are derived, for both the ideal.

Statistical-physical models of man-made and natural radio noise, part 3. First-order probability models of the instantaneous amplitude of class B interference Middleton, : Middleton, D.

Statistical-physical models of man-made and natural radio noise. Part 4: Determination of the first-order parameters of class Statistical-physical models of man-made and natural radio noise book and B interference: Authors: Middleton, D.

Affiliation: AA(Middleton (David), New York, NY.) Publication: Unknown: Publication Date: 09/ Category: Communications and Radar: Origin: STI: NASA/STI Keywords.

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Statistical-physical models of man-made and natural radio noise / By David. Middleton and United States. First-order probability models of the instantaneous amplitude -- pt First order probability models of the envelope and phase -- pt First-order probability models of the instantaneous amplitude of Class B of access.

Abstract: Theoretical foundations for an analytical model of urban radio-noise environments are presented at a level of generality broad enough to include the pertinent physical and statistical elements which critically influence the temporal and statistical character of such interference in radio receivers.

The central roles of geometry, directionality (beam patterns), waveforms (from the Cited by: The ITU’s (International Telecommunication Union’s) man-made noise levels are based on measurements performed in the s. Due to the technological expansion man-made electromagnetic noise is nowadays superimposed on the natural noise almost everywhere on Earth.

In residential and business areas, man-made noise has increased dramatically in the last tens of years exceeding the natural one and in certain cases overwhelming the natural Size: KB.

This model is based on several previously known statistical-physical models, but in addition takes into account the clustering of sferic impulses.

Description Statistical-physical models of man-made and natural radio noise FB2

It is shown that the clustering model accurately predicts the statistical features found in low-frequency radio noise data. Get this from a library. Statistical-physical models of man-made and natural radio noise.

[D Middleton; United States. Department of Commerce.] -- Pt. First-order probability models of the instantaneous amplitudept. First order probability models of the envelope and phase. The distribution of man-made and naturally occurring noise sources is considered along with automobile ignition system noise sources, electric-power generation and transmission-line noise, and the theory of the envelope statistics of man-made radio noise.

Statistical-physical models of man-made and natural radio noise: part IV, Determination of the first-order parameters of class A and B interference. [D Middleton; Institute for. Statistical-physical models of man-made and natural radio noise: part III, First order probability models of the instantaneous amplitude of class B interference Author: D Middleton ; United States.

Statistical-Physical Models of Man-Made and Natural Radio Noise Part II: First Order Probability Models of the Envelope and Phase D Middleton Thirteen ways to look at the correlation coefficient. Institute for Telecommunication Sciences: Statistical-physical models of man-made and natural radio noise: part IV, Determination of the first-order parameters of class A and B interference / (Boulder, Colo.: Dept.

of Commerce, National Telecommunications and Information Administration, Institute for Telecommunication Sciences, ), also by David Middleton (page images at HathiTrust). Statistical-physical models of man-made and natural radio noise: part IV, Determination of the first-order parameters of class A and B interference / By David.

Middleton and. Natural radio noise--A mini-review Abstract: Natural radio noise in telecommunication systems can be accounted for by the contribution which it makes to antenna noise temperature. Attenuation due to water vapor and oxygen, clouds, and precipitation is accompanied by thermal noise which further degrades the applicable signal-to-noise by: 8.

The Effects of Noise on Man covers the techniques for the evaluation of environmental noise in terms of its effects on human.

The book provides the fundamental definitions of sound, its measurement, and concepts of the basic functioning, and the attributes of the auditory system. The text also presents along with their experimental basis. STATISTICAL-PHYSICAL MODELS OF MAN-MADE RADIO NOISE PART I.

FIRST-ORDER PROBABILITY MODELS OF THE INSTANTANEOUS AMPLITUDE David Middleton I. INTRODUCTION Man-made electromagnetic interference (or noise) has become a problem of great concern in the telecommunications community.

particularly in the face of available bandwidth resources. Such. Currently, the levels of VHF and UHF man-made noise (MMN) in the electromagnetic environment are documented in the ITU-R Recommendation (), based on research undertaken in the s. In an effort to update this information, Mass Consultants Ltd.

(MASS) conducted a measurement study on behalf of the Radiocommunications Agency (now Ofcom).Cited by: Middleton, D.: Statistical-physical models of man-made and natural radio noise, part II.

ReportInstitute for Telecommunication Sciences (April ) Google Scholar Cited by: 1.

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The Middleton Class A interference model is statistical-physical and parametric model for man-made and natural electromagnetic interference.

In this letter, the efficient Bayesian estimator of the. Most man-made and natural electromagnetic interference, or "noise," are highly non-Gaussian random processes, whose degrading effects on system performance can be severe, particularly on most.

Statistical considerations for noise and interference measurements by: Dalke, Roger. Published: () Statistical-physical models of man-made and natural radio noise.

MiddletonStatistical-physical models of man-made and natural radio noise, Part II: First-order probability models of the envelope and phase () Report OTOffice of TelecommunicationsAuthor: C.L. Nikias, M. Shao. Literature reviewed dates from to the present and includes works which described atmospheric noise as a random process (statistical models), as an environmental factor (space-time models), and as a group of physical processes and conditions producing a random natural field (radiophysical models).

The Middleton class A interference model is a statistical-physical and parametric model for man-made and natural electromagnetic (EM) interference. Natural radio noise in telecommunication systems can be accounted for by the contribution which it makes to antenna noise temperature. Attenuation due to water vapor and oxygen, clouds, and precipitation is accompanied by thermal noise which further degrades the applicable signal-to-noise.

In the estimation of unnormalized models, there is a trade-off between statistical and computational performance. We show that the new method strikes a competitive trade-off in comparison to other estimation methods for unnormalized models.

As an application to real data, we estimate novel two-layer models of natural image statistics with spline. Parsons, J.D. and Sheikh, A.U.H. Statistical characterization of VHF man-made radio noise.

Radio and Electronic Engineer 53 (3) (March ) 99– CrossRef Google ScholarAuthor: J. D. Parsons, J. G. Gardiner. Statistical-physical models of man-made and natural radio noise by D. Middleton 3 editions - first published in C /3: (pt.2) Statistical-physical models of man-made and natural radio noise C /3: HF channel-simulator measurements and performance analyses on the USC, ACQ-6, and MX PSK modems C /3: Telecommunications substitutability for travel: .