Kolmogorov-Smirnov Test for Spectrum Sensing: from the Statistical Test to Energy Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU100197" target="_blank" >RIV/00216305:26220/12:PU100197 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Kolmogorov-Smirnov Test for Spectrum Sensing: from the Statistical Test to Energy Detection
Original language description
Spectrum sensing belongs to important parts of Cognitive Radio (CR) chain. Many different spectrum sensing methods are known. One of the recently proposed approaches to spectrum sensing in cognitive radio systems is based on the Kolmogorov - Smirnov statistical (K-S) test. Statistical K–S test is classified as a non-parametric method to measure the goodness of fit between two distribution functions – the one of the received communication signal and the second of the channel noise. We assume the cumulative distribution function of the noise corresponds to the Additive White Gaussian Noise (AWGN) and is known in advance. The paper discusses two modifications of the Kolmogorov-Smirnov test – the first with the removed information about the signal energy and the second taking it into account for decision. The experimental results prove the robustness of the algorithm for different kinds of received signals.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2012 IEEE Workshop on Signal Processing Systems (SIPS)
ISBN
978-0-7695-4856-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
97-102
Publisher name
IEEE Computer Society
Place of publication
Neuveden
Event location
Québec
Event date
Oct 17, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000319344000017