File:Jamming effects on M-ary coherent and binary noncoherent digital receivers using random jammer models (IA jammingeffectson00muno).pdf

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Original file ‎(1,187 × 1,564 pixels, file size: 5.72 MB, MIME type: application/pdf, 128 pages)

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Jamming effects on M-ary coherent and binary noncoherent digital receivers using random jammer models   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Munoz, Luis A.
image of artwork listed in title parameter on this page
Title
Jamming effects on M-ary coherent and binary noncoherent digital receivers using random jammer models
Description
Available from National Technical Information Service, Springfield, Va
DTIC Descriptors: Signal To Noise Ratio, Numerical Analysis, Gaussian Noise, Receivers, Jamming, Channels, Functions, Optimization, Strategy, Models, Probability, Shape, Structures, Waveforms, White Noise, Theses, Spectra, Signals, Errors, Symbols, Filters, Noise, Modulation, Addition
"1985"
Thesis (M.S.in Electrical Engineering) Naval Postgraduate School, 1985
Includes bibliographical references
The purpose of this work is to analyze and evaluate the effect of jamming waveforms on both coherent and noncoherent digital communications receivers. Specifically,, random processes are utilized as jamming models in which it is assumed that the jamming waveforms have been produced by a shaping filter driven by white Gaussian noise. Such jamming waveforms are then assumed to be present at the input of known receiver structures (in addition to the signals and channel noise normally present), and optimum jamming waveform spectra are determined for different receiver schemes and modulation techniques. Graphical results based on numerical analyses are presented in order to demonstrate the effect of different jamming strategies on receiver performance. In order to quantify receiver performance, bit error probabilities are determined for binary modulation systems and symbol error probabilities are determined for M-ary modulation systems. In each case, the error probabilities are functions of signal-to-noise ratio (SNR) and jammer-to-signal ratio(JSR). Results show that it is generally possible to significantly degrade the performance of binary as well as M-ary modulation communication receivers by introducing suitably chosen jamming waveforms
c.1 - 216773, c.2 - 216774

Subjects: Electrical and computer engineering
Language en_US
Publication date 1985
publication_date QS:P577,+1985-00-00T00:00:00Z/9
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink; americana
Accession number
jammingeffectson00muno
Notes some content may be lost due to the binding of the book.
Authority file  OCLC: 1047456666
Source
Internet Archive identifier: jammingeffectson00muno
https://archive.org/download/jammingeffectson00muno/jammingeffectson00muno.pdf

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Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
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