Calculation of Aircraft Target's Single-Pulse Detection Probability
Main Author: | |
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Publication Date: | 2015 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Journal of Aerospace Technology and Management (Online) |
Download full: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462015000300314 |
Summary: | ABSTRACT: The original radar cross section data or some rough models are often used to estimate a given aircraft target detection probability. The calculation results may not be very accurate as targets are different from one another and the real radar detection process is complex. A new method for radar cross section model generation is proposed and it takes the random factors like air turbulence into account; this makes it conform to the reality. In addition, this radar cross section model can be directly applied to the radar detection process to calculate the detection probability of a specific aircraft at any attitude. Four typical aerial vehicles are taken as examples to demonstrate this method and information such as detection probability, signal to noise ratio and detection distance. Target's instantaneous probability of being tracked, which corresponds to target's detection probability, can also be calculated. Using these calculation results, we can compare two different aircrafts' stealth performance in detail or optimize an aircraft's flight path. |
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Calculation of Aircraft Target's Single-Pulse Detection ProbabilityDetection probabilityRCS fluctuationStealth performanceAircraft targetABSTRACT: The original radar cross section data or some rough models are often used to estimate a given aircraft target detection probability. The calculation results may not be very accurate as targets are different from one another and the real radar detection process is complex. A new method for radar cross section model generation is proposed and it takes the random factors like air turbulence into account; this makes it conform to the reality. In addition, this radar cross section model can be directly applied to the radar detection process to calculate the detection probability of a specific aircraft at any attitude. Four typical aerial vehicles are taken as examples to demonstrate this method and information such as detection probability, signal to noise ratio and detection distance. Target's instantaneous probability of being tracked, which corresponds to target's detection probability, can also be calculated. Using these calculation results, we can compare two different aircrafts' stealth performance in detail or optimize an aircraft's flight path.Departamento de Ciência e Tecnologia Aeroespacial2015-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462015000300314Journal of Aerospace Technology and Management v.7 n.3 2015reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v7i3.470info:eu-repo/semantics/openAccessYue,KuizhiChen,ShichunShu,Changyongeng2017-05-25T00:00:00Zoai:scielo:S2175-91462015000300314Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-05-25T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false |
dc.title.none.fl_str_mv |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
title |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
spellingShingle |
Calculation of Aircraft Target's Single-Pulse Detection Probability Yue,Kuizhi Detection probability RCS fluctuation Stealth performance Aircraft target |
title_short |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
title_full |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
title_fullStr |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
title_full_unstemmed |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
title_sort |
Calculation of Aircraft Target's Single-Pulse Detection Probability |
author |
Yue,Kuizhi |
author_facet |
Yue,Kuizhi Chen,Shichun Shu,Changyong |
author_role |
author |
author2 |
Chen,Shichun Shu,Changyong |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Yue,Kuizhi Chen,Shichun Shu,Changyong |
dc.subject.por.fl_str_mv |
Detection probability RCS fluctuation Stealth performance Aircraft target |
topic |
Detection probability RCS fluctuation Stealth performance Aircraft target |
description |
ABSTRACT: The original radar cross section data or some rough models are often used to estimate a given aircraft target detection probability. The calculation results may not be very accurate as targets are different from one another and the real radar detection process is complex. A new method for radar cross section model generation is proposed and it takes the random factors like air turbulence into account; this makes it conform to the reality. In addition, this radar cross section model can be directly applied to the radar detection process to calculate the detection probability of a specific aircraft at any attitude. Four typical aerial vehicles are taken as examples to demonstrate this method and information such as detection probability, signal to noise ratio and detection distance. Target's instantaneous probability of being tracked, which corresponds to target's detection probability, can also be calculated. Using these calculation results, we can compare two different aircrafts' stealth performance in detail or optimize an aircraft's flight path. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462015000300314 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462015000300314 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5028/jatm.v7i3.470 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
dc.source.none.fl_str_mv |
Journal of Aerospace Technology and Management v.7 n.3 2015 reponame:Journal of Aerospace Technology and Management (Online) instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA) instacron:DCTA |
instname_str |
Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
instacron_str |
DCTA |
institution |
DCTA |
reponame_str |
Journal of Aerospace Technology and Management (Online) |
collection |
Journal of Aerospace Technology and Management (Online) |
repository.name.fl_str_mv |
Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
repository.mail.fl_str_mv |
||secretary@jatm.com.br |
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1754732531248267264 |