Autocorrelation based spectrum sensing technique for cognitive radio application Article Swipe
Sandhya Pattanayak
,
P. Venkateswaran
,
R. Nandi
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1587/comex.2018xbl0107
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1587/comex.2018xbl0107
A spectrum sensing technique based on the detection of the audio FM and wireless microphone signals in the TV band is proposed. Our method autocorrelates the signal that enables a formulation of the new decision making index in terms of a ratio Ar. Thereby an algorithmic interpretation with Ar as an index, one identifies the white space. This method reduces the probability of false alarm and mitigates the disadvantages of other spectrum sensing techniques.
Related Topics
Concepts
Cognitive radio
White spaces
Autocorrelation
False alarm
Computer science
Wireless
Spectrum (functional analysis)
Microphone
Index (typography)
SIGNAL (programming language)
Radio spectrum
Speech recognition
Algorithm
Electronic engineering
Artificial intelligence
Telecommunications
Mathematics
Statistics
Engineering
Physics
Quantum mechanics
World Wide Web
Sound pressure
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1587/comex.2018xbl0107
- https://www.jstage.jst.go.jp/article/comex/7/11/7_2018XBL0107/_pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2889319455
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2889319455Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1587/comex.2018xbl0107Digital Object Identifier
- Title
-
Autocorrelation based spectrum sensing technique for cognitive radio applicationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Sandhya Pattanayak, P. Venkateswaran, R. NandiList of authors in order
- Landing page
-
https://doi.org/10.1587/comex.2018xbl0107Publisher landing page
- PDF URL
-
https://www.jstage.jst.go.jp/article/comex/7/11/7_2018XBL0107/_pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.jstage.jst.go.jp/article/comex/7/11/7_2018XBL0107/_pdfDirect OA link when available
- Concepts
-
Cognitive radio, White spaces, Autocorrelation, False alarm, Computer science, Wireless, Spectrum (functional analysis), Microphone, Index (typography), SIGNAL (programming language), Radio spectrum, Speech recognition, Algorithm, Electronic engineering, Artificial intelligence, Telecommunications, Mathematics, Statistics, Engineering, Physics, Quantum mechanics, World Wide Web, Sound pressure, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.as | 49 |
| abstract_inverted_index.in | 16, 37 |
| abstract_inverted_index.is | 20 |
| abstract_inverted_index.of | 8, 31, 39, 62, 69 |
| abstract_inverted_index.on | 5 |
| abstract_inverted_index.Ar. | 42 |
| abstract_inverted_index.Our | 22 |
| abstract_inverted_index.and | 12, 65 |
| abstract_inverted_index.new | 33 |
| abstract_inverted_index.one | 52 |
| abstract_inverted_index.the | 6, 9, 17, 25, 32, 54, 60, 67 |
| abstract_inverted_index.This | 57 |
| abstract_inverted_index.band | 19 |
| abstract_inverted_index.that | 27 |
| abstract_inverted_index.with | 47 |
| abstract_inverted_index.alarm | 64 |
| abstract_inverted_index.audio | 10 |
| abstract_inverted_index.based | 4 |
| abstract_inverted_index.false | 63 |
| abstract_inverted_index.index | 36 |
| abstract_inverted_index.other | 70 |
| abstract_inverted_index.ratio | 41 |
| abstract_inverted_index.terms | 38 |
| abstract_inverted_index.white | 55 |
| abstract_inverted_index.index, | 51 |
| abstract_inverted_index.making | 35 |
| abstract_inverted_index.method | 23, 58 |
| abstract_inverted_index.signal | 26 |
| abstract_inverted_index.space. | 56 |
| abstract_inverted_index.Thereby | 43 |
| abstract_inverted_index.enables | 28 |
| abstract_inverted_index.reduces | 59 |
| abstract_inverted_index.sensing | 2, 72 |
| abstract_inverted_index.signals | 15 |
| abstract_inverted_index.decision | 34 |
| abstract_inverted_index.spectrum | 1, 71 |
| abstract_inverted_index.wireless | 13 |
| abstract_inverted_index.detection | 7 |
| abstract_inverted_index.mitigates | 66 |
| abstract_inverted_index.proposed. | 21 |
| abstract_inverted_index.technique | 3 |
| abstract_inverted_index.identifies | 53 |
| abstract_inverted_index.microphone | 14 |
| abstract_inverted_index.algorithmic | 45 |
| abstract_inverted_index.formulation | 30 |
| abstract_inverted_index.probability | 61 |
| abstract_inverted_index.techniques. | 73 |
| abstract_inverted_index.disadvantages | 68 |
| abstract_inverted_index.autocorrelates | 24 |
| abstract_inverted_index.interpretation | 46 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.55624463 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |