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The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation

This paper describes a multichannel super-heterodyne signal analyzer, called the Spectrum Analysis Solution (SAS), which performs multi-purpose spectrum sensing to support spectrally adaptive and cognitive radar applications. The SAS operates from ultrahigh frequency (UHF) to the S-band and features...

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Autores principales: Narayanan, Ram M., Pooler, Richard K., Martone, Anthony F., Gallagher, Kyle A., Sherbondy, Kelly D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855037/
https://www.ncbi.nlm.nih.gov/pubmed/29470448
http://dx.doi.org/10.3390/s18020652
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author Narayanan, Ram M.
Pooler, Richard K.
Martone, Anthony F.
Gallagher, Kyle A.
Sherbondy, Kelly D.
author_facet Narayanan, Ram M.
Pooler, Richard K.
Martone, Anthony F.
Gallagher, Kyle A.
Sherbondy, Kelly D.
author_sort Narayanan, Ram M.
collection PubMed
description This paper describes a multichannel super-heterodyne signal analyzer, called the Spectrum Analysis Solution (SAS), which performs multi-purpose spectrum sensing to support spectrally adaptive and cognitive radar applications. The SAS operates from ultrahigh frequency (UHF) to the S-band and features a wideband channel with eight narrowband channels. The wideband channel acts as a monitoring channel that can be used to tune the instantaneous band of the narrowband channels to areas of interest in the spectrum. The data collected from the SAS has been utilized to develop spectrum sensing algorithms for the budding field of spectrum sharing (SS) radar. Bandwidth (BW), average total power, percent occupancy (PO), signal-to-interference-plus-noise ratio (SINR), and power spectral entropy (PSE) have been examined as metrics for the characterization of the spectrum. These metrics are utilized to determine a contiguous optimal sub-band (OSB) for a SS radar transmission in a given spectrum for different modalities. Three OSB algorithms are presented and evaluated: the spectrum sensing multi objective (SS-MO), the spectrum sensing with brute force PSE (SS-BFE), and the spectrum sensing multi-objective with brute force PSE (SS-MO-BFE).
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spelling pubmed-58550372018-03-20 The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation Narayanan, Ram M. Pooler, Richard K. Martone, Anthony F. Gallagher, Kyle A. Sherbondy, Kelly D. Sensors (Basel) Article This paper describes a multichannel super-heterodyne signal analyzer, called the Spectrum Analysis Solution (SAS), which performs multi-purpose spectrum sensing to support spectrally adaptive and cognitive radar applications. The SAS operates from ultrahigh frequency (UHF) to the S-band and features a wideband channel with eight narrowband channels. The wideband channel acts as a monitoring channel that can be used to tune the instantaneous band of the narrowband channels to areas of interest in the spectrum. The data collected from the SAS has been utilized to develop spectrum sensing algorithms for the budding field of spectrum sharing (SS) radar. Bandwidth (BW), average total power, percent occupancy (PO), signal-to-interference-plus-noise ratio (SINR), and power spectral entropy (PSE) have been examined as metrics for the characterization of the spectrum. These metrics are utilized to determine a contiguous optimal sub-band (OSB) for a SS radar transmission in a given spectrum for different modalities. Three OSB algorithms are presented and evaluated: the spectrum sensing multi objective (SS-MO), the spectrum sensing with brute force PSE (SS-BFE), and the spectrum sensing multi-objective with brute force PSE (SS-MO-BFE). MDPI 2018-02-22 /pmc/articles/PMC5855037/ /pubmed/29470448 http://dx.doi.org/10.3390/s18020652 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Narayanan, Ram M.
Pooler, Richard K.
Martone, Anthony F.
Gallagher, Kyle A.
Sherbondy, Kelly D.
The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation
title The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation
title_full The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation
title_fullStr The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation
title_full_unstemmed The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation
title_short The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation
title_sort spectrum analysis solution (sas) system: theoretical analysis, hardware design and implementation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855037/
https://www.ncbi.nlm.nih.gov/pubmed/29470448
http://dx.doi.org/10.3390/s18020652
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