File:SIGNAL RECOVERY AND DETECTION OF CERTAIN WIDEBAND SIGNALS USING MULTIPLE LOW-RATE ADCS (IA signalrecoveryan1094560415).pdf
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Summary[edit]
SIGNAL RECOVERY AND DETECTION OF CERTAIN WIDEBAND SIGNALS USING MULTIPLE LOW-RATE ADCS ( ) | ||
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Author |
Johnson, Michael A. |
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Title |
SIGNAL RECOVERY AND DETECTION OF CERTAIN WIDEBAND SIGNALS USING MULTIPLE LOW-RATE ADCS |
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Publisher |
Monterey, CA; Naval Postgraduate School |
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Description |
There are certain wideband signals that occupy quite large bandwidths but may have dominant amplitudes in certain frequency bands. In this work, we show that these signals can be effectively sampled by a lower sampling rate compared to what is required by the Nyquist-Shannon sampling theorem. These resonant frequency components are split into separate receiver paths (subchains or channels) and sampled at a much lower sampling rate than is required for the entire wideband signal. It is shown that reconstruction of the signal is improved, and the probability of detection performance experiences little or no degradation since the effective noise power is attenuated by the proposed method. Subjects: Sub-Nyquist sampling; aliasing receiver; low-rate sampling; compressive sensing; wideband |
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Language | English | |
Publication date | September 2018 | |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
signalrecoveryan1094560415 |
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Source | ||
Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
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Public domainPublic domainfalsefalse |
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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Short title | SIGNAL RECOVERY AND DETECTION OF CERTAIN WIDEBAND SIGNALS USING MULTIPLE LOW-RATE ADCS |
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Image title | |
Author | Johnson, Michael A. |
Software used | Johnson, Michael A. |
Conversion program | Adobe Acrobat Pro 11.0.23 |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.4 |