CFAR detection of distributed targets in non-Gaussian disturbance

The subject of detection of spatially distributed targets in non-Gaussian noise with unknown statistics is addressed. At the design stage, in order to cope with the a priori uncertainty, we model noise returns as Gaussian vectors with the same structure of the covariance matrix, but possibly differe...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on aerospace and electronic systems Vol. 38; no. 2; pp. 612 - 621
Main Authors Conte, E., De Maio, A., Ricci, G.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN0018-9251
1557-9603
DOI10.1109/TAES.2002.1008990

Cover

Loading…
Abstract The subject of detection of spatially distributed targets in non-Gaussian noise with unknown statistics is addressed. At the design stage, in order to cope with the a priori uncertainty, we model noise returns as Gaussian vectors with the same structure of the covariance matrix, but possibly different power levels (heterogeneous environment). We also assume that a set of secondary data, free of signal components, is available to estimate the correlation properties of the disturbance The proposed detector assumes no a priori knowledge about the spatial distribution of the target scatterers and ensures the constant false alarm rate (CFAR) property with respect to both the structure of the covariance matrix and the power levels. Finally, the performance assessment, conducted modeling the disturbance as a spherically invariant random process (SIRP), confirms its validity to operate in real radar scenarios.
AbstractList The subject of detection of spatially distributed targets in non-Gaussian noise with unknown statistics is addressed. At the design stage, in order to cope with the a priori uncertainty, we model noise returns as Gaussian vectors with the same structure of the covariance matrix, but possibly different power levels (heterogeneous environment). We also assume that a set of secondary data, free of signal components, is available to estimate the correlation properties of the disturbance The proposed detector assumes no a priori knowledge about the spatial distribution of the target scatterers and ensures the constant false alarm rate (CFAR) property with respect to both the structure of the covariance matrix and the power levels. Finally, the performance assessment, conducted modeling the disturbance as a spherically invariant random process (SIRP), confirms its validity to operate in real radar scenarios
The subject of detection of spatially distributed targets in non-Gaussian noise with unknown statistics is addressed. At the design stage, in order to cope with the a priori uncertainty, we model noise returns as Gaussian vectors with the same structure of the covariance matrix, but possibly different power levels (heterogeneous environment). We also assume that a set of secondary data, free of signal components, is available to estimate the correlation properties of the disturbance. The proposed detector assumes no a priori knowledge about the spatial distribution of the target scatterers and ensures the constant false alarm rate (CFAR) property with respect to both the structure of the covariance matrix and the power levels. Finally, the performance assessment, conducted modeling the disturbance as a spherically invariant random process (SIRP), confirms its validity to operate in real radar scenarios.
The subject of detection of spatially distributed targets in non-Gaussian noise with unknown statistics is addressed. At the design stage, in order to cope with the a priori uncertainty, we model noise returns as Gaussian vectors with the same structure of the covariance matrix, but possibly different power levels (heterogeneous environment). We also assume that aset of secondary data, free of signal components, is available to estimate the correlation properties of the disturbance. The proposed detector assumes no a priori knowledge about the spatial distribution of the target scatterers and ensures the CFAR property with respect to both the structure of the covariance matrix and the power levels. Finally, the performance assessment, conducted modeling the disturbance as a spherically invariant random process (SIRP), confirms its validity to operate in real radar scenarios. (Author)
Author De Maio, A.
Ricci, G.
Conte, E.
Author_xml – sequence: 1
  givenname: E.
  surname: Conte
  fullname: Conte, E.
  organization: Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Universiti degli Studi di Napoli "Federico II", Naples, Italy
– sequence: 2
  givenname: A.
  surname: De Maio
  fullname: De Maio, A.
  organization: Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Universiti degli Studi di Napoli "Federico II", Naples, Italy
– sequence: 3
  givenname: G.
  surname: Ricci
  fullname: Ricci, G.
BookMark eNqNkU1P3DAQhq0KpC7QH1D1EnGAU7YzTvx1XK34kpCQCpwtrzOpjJYEbOfAv6_T5YA4ABdb1jyvZ-zngO0N40CM_URYIoL5fbc6u11yAL5EAG0MfGMLFELVRkKzxxYAqGvDBX5nByk9lGOr22bBVuvz1Z-qo0w-h3Goxr7qQsoxbKZMXZVd_Es5VWGoSsP6wk0pBTf8Z6a4cYOnI7bfu22iH6_7Ibs_P7tbX9bXNxdX69V17QXyXBsliQvYbIxxfVmkRG463qu2zOu5KmUkcgC-dR47alzbtGg61yujtIDmkJ3u7n2K4_NEKdvHkDxtt26gcUrWgCpv1aop5MmHJNdaI2r9BZCDksZ8DkoJUmj8Eii0lAU8fgc-jFMcygdaXcTolot5PrWDfBxTitRbH7KbPeXowtYi2Fm-neXbWb59lV-S-C75FMOjiy8fZn7tMoGI3vC76j_p4LmK
CODEN IEARAX
CitedBy_id crossref_primary_10_1049_iet_rsn_2010_0324
crossref_primary_10_1109_LSP_2005_863653
crossref_primary_10_1007_s00034_011_9360_3
crossref_primary_10_1109_TSP_2011_2159602
crossref_primary_10_1109_TSP_2006_888065
crossref_primary_10_1109_LSP_2018_2875565
crossref_primary_10_1109_TITS_2024_3360323
crossref_primary_10_1109_TSP_2013_2282274
crossref_primary_10_1109_TSP_2018_2791926
crossref_primary_10_1109_TSP_2006_881223
crossref_primary_10_1016_j_sigpro_2009_05_008
crossref_primary_10_1109_TAES_2022_3221700
crossref_primary_10_1049_iet_rsn_2016_0251
crossref_primary_10_1016_j_sigpro_2010_08_006
crossref_primary_10_1049_iet_rsn_2010_0091
crossref_primary_10_3390_electronics6020042
crossref_primary_10_1109_LSP_2015_2480426
crossref_primary_10_1109_TAES_2012_6178091
crossref_primary_10_1049_iet_spr_2009_0271
crossref_primary_10_1109_TSP_2021_3058447
crossref_primary_10_1109_TSP_2020_2981213
crossref_primary_10_1587_transfun_2020EAL2026
crossref_primary_10_1109_LSP_2019_2935625
crossref_primary_10_1109_TSP_2009_2021707
crossref_primary_10_1049_iet_rsn_2018_5363
crossref_primary_10_1109_TAES_2010_5545191
crossref_primary_10_1016_j_sigpro_2017_10_002
crossref_primary_10_1109_TSP_2011_2167613
crossref_primary_10_1109_TAES_2017_2731558
crossref_primary_10_1049_iet_rsn_2009_0056
crossref_primary_10_1587_transcom_E94_B_368
crossref_primary_10_1049_iet_rsn_2011_0190
crossref_primary_10_1016_j_dsp_2016_09_002
crossref_primary_10_1109_ACCESS_2024_3468917
crossref_primary_10_1080_09205071_2014_940469
crossref_primary_10_1109_TAES_2003_1207267
crossref_primary_10_1016_j_dsp_2007_12_005
crossref_primary_10_1109_TAES_2004_1310021
crossref_primary_10_1109_TAES_2011_5705697
crossref_primary_10_1049_iet_spr_20070082
crossref_primary_10_1109_ACCESS_2020_2988066
crossref_primary_10_1007_s11432_010_4127_1
crossref_primary_10_1016_j_sigpro_2021_108127
crossref_primary_10_1007_s00034_011_9381_y
crossref_primary_10_1109_TAES_2012_6237578
crossref_primary_10_1109_TAES_2008_4560214
crossref_primary_10_1109_TAES_2023_3242916
crossref_primary_10_21597_jist_1274648
crossref_primary_10_1109_TSP_2023_3289701
crossref_primary_10_1007_s11760_024_03480_y
crossref_primary_10_1016_j_sigpro_2018_06_006
crossref_primary_10_1016_j_dsp_2014_09_010
crossref_primary_10_1049_iet_wss_2013_0116
crossref_primary_10_3724_SP_J_1146_2010_00118
crossref_primary_10_1109_TGRS_2023_3235062
crossref_primary_10_25046_aj0203189
crossref_primary_10_1016_j_sigpro_2024_109609
crossref_primary_10_1016_j_dsp_2013_05_013
crossref_primary_10_1016_j_sigpro_2013_08_012
crossref_primary_10_1109_LSP_2016_2597738
crossref_primary_10_1109_TSP_2004_842196
crossref_primary_10_1016_j_sigpro_2010_06_006
crossref_primary_10_1049_iet_spr_2011_0313
crossref_primary_10_1109_TAES_2012_6237589
crossref_primary_10_1109_ACCESS_2018_2876175
crossref_primary_10_1016_j_asr_2012_09_005
crossref_primary_10_3724_SP_J_1146_2009_01502
crossref_primary_10_1109_TSP_2007_893927
crossref_primary_10_1186_s13634_018_0544_x
crossref_primary_10_1049_iet_rsn_2020_0002
crossref_primary_10_1109_TSP_2007_906690
Cites_doi 10.1109/7.135446
10.1109/TAES.1986.310745
10.1109/7.722671
10.1109/8.481648
10.1049/ip-f-2.1990.0009
10.1049/ip-f-1.1987.0090
10.1049/ip-f-2.1991.0018
10.1109/7.784062
10.1109/TAES.2002.1008976
10.1109/78.542438
10.1109/PROC.1965.4075
10.1109/7.272258
10.1049/ip-f-2.1991.0028
10.1109/7.784060
10.1109/78.771034
10.1109/19.650784
10.1109/TAES.1983.309368
10.1109/78.492544
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2002
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2002
DBID RIA
RIE
AAYXX
CITATION
7SP
7TB
8FD
FR3
H8D
L7M
F28
DOI 10.1109/TAES.2002.1008990
DatabaseName IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Electronics & Communications Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Engineering Research Database
Aerospace Database
Advanced Technologies Database with Aerospace
ANTE: Abstracts in New Technology & Engineering
DatabaseTitle CrossRef
Aerospace Database
Engineering Research Database
Technology Research Database
Mechanical & Transportation Engineering Abstracts
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
ANTE: Abstracts in New Technology & Engineering
DatabaseTitleList Aerospace Database
Technology Research Database
Engineering Research Database

Technology Research Database
Technology Research Database
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1557-9603
EndPage 621
ExternalDocumentID 2430184431
10_1109_TAES_2002_1008990
1008990
GroupedDBID -~X
0R~
29I
4.4
41~
5GY
5VS
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACIWK
ACNCT
AENEX
AETIX
AGQYO
AGSQL
AHBIQ
AI.
AIBXA
AKJIK
AKQYR
ALLEH
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
F5P
H~9
IAAWW
IBMZZ
ICLAB
IFIPE
IFJZH
IPLJI
JAVBF
LAI
M43
OCL
P2P
RIA
RIE
RNS
TN5
VH1
AAYOK
AAYXX
CITATION
RIG
7SP
7TB
8FD
FR3
H8D
L7M
F28
ID FETCH-LOGICAL-c512t-976e250bb99afb9966129d2f74008c2776e1eea00c4ac1de3a43419daf7978503
IEDL.DBID RIE
ISSN 0018-9251
IngestDate Mon Jul 21 10:06:06 EDT 2025
Fri Jul 11 02:06:54 EDT 2025
Fri Jul 11 00:01:01 EDT 2025
Fri Jul 11 11:32:24 EDT 2025
Thu Jul 10 23:36:08 EDT 2025
Fri Jul 25 02:07:48 EDT 2025
Thu Apr 24 22:51:27 EDT 2025
Tue Jul 01 00:57:39 EDT 2025
Wed Aug 27 02:52:21 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c512t-976e250bb99afb9966129d2f74008c2776e1eea00c4ac1de3a43419daf7978503
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
PQID 884384258
PQPubID 23500
PageCount 10
ParticipantIDs proquest_miscellaneous_28207699
proquest_miscellaneous_26606581
crossref_citationtrail_10_1109_TAES_2002_1008990
crossref_primary_10_1109_TAES_2002_1008990
proquest_journals_884384258
ieee_primary_1008990
proquest_miscellaneous_28881188
proquest_miscellaneous_907960873
proquest_miscellaneous_26605866
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2002-04-01
PublicationDateYYYYMMDD 2002-04-01
PublicationDate_xml – month: 04
  year: 2002
  text: 2002-04-01
  day: 01
PublicationDecade 2000
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE transactions on aerospace and electronic systems
PublicationTitleAbbrev T-AES
PublicationYear 2002
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref12
ref15
ref14
ref20
ref11
ref10
ref2
ref1
ref17
gerlach (ref9) 2000
conte (ref21) 1991; 138
ref19
ref18
ref8
ref7
ref4
ref6
van trees (ref16) 1968
moon (ref3) 1991; 138
kelly (ref5) 1989
References_xml – ident: ref17
  doi: 10.1109/7.135446
– ident: ref14
  doi: 10.1109/TAES.1986.310745
– ident: ref18
  doi: 10.1109/7.722671
– year: 1989
  ident: ref5
  publication-title: Adaptive detection and parameter estimation for multidimensional signal models
– ident: ref2
  doi: 10.1109/8.481648
– ident: ref11
  doi: 10.1049/ip-f-2.1990.0009
– ident: ref20
  doi: 10.1049/ip-f-1.1987.0090
– volume: 138
  start-page: 121
  year: 1991
  ident: ref21
  article-title: modelling and simulation of non-rayleigh radar clutter
  publication-title: Radar and Signal Processing IEE Proceedings F
  doi: 10.1049/ip-f-2.1991.0018
– ident: ref10
  doi: 10.1109/7.784062
– ident: ref19
  doi: 10.1109/TAES.2002.1008976
– ident: ref7
  doi: 10.1109/78.542438
– year: 1968
  ident: ref16
  publication-title: Detection Estimation and Modulation Theory
– ident: ref1
  doi: 10.1109/PROC.1965.4075
– ident: ref12
  doi: 10.1109/7.272258
– volume: 138
  start-page: 218
  year: 1991
  ident: ref3
  article-title: high resolution rcs measurements of boats
  publication-title: Radar and Signal Processing IEE Proceedings F
  doi: 10.1049/ip-f-2.1991.0028
– ident: ref15
  doi: 10.1109/7.784060
– ident: ref8
  doi: 10.1109/78.771034
– ident: ref13
  doi: 10.1109/19.650784
– ident: ref4
  doi: 10.1109/TAES.1983.309368
– year: 2000
  ident: ref9
  publication-title: A study of adaptive detection of range-distributed targets
– ident: ref6
  doi: 10.1109/78.492544
SSID ssj0014843
Score 2.0523667
Snippet The subject of detection of spatially distributed targets in non-Gaussian noise with unknown statistics is addressed. At the design stage, in order to cope...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 612
SubjectTerms Aircraft components
Clutter
Constant false alarm rate
Covariance matrix
Detectors
Disturbances
Energy resolution
Gaussian noise
Invariants
Noise
Non-Gaussian
Radar detection
Radar scattering
Reflection
Statistical distributions
Working environment noise
Title CFAR detection of distributed targets in non-Gaussian disturbance
URI https://ieeexplore.ieee.org/document/1008990
https://www.proquest.com/docview/884384258
https://www.proquest.com/docview/26605866
https://www.proquest.com/docview/26606581
https://www.proquest.com/docview/28207699
https://www.proquest.com/docview/28881188
https://www.proquest.com/docview/907960873
Volume 38
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB61PcGBAgWxlIcPnBDZOk_bx1XVpUIqB2il3iI_JhICZatucuHXd8bxrsprxS2KJ4kz9nhmPONvAN4V2KmyCF2GndNZVRuXGVN5GpDK66CUlp73IS8-N-dX1afr-noPPmzPwiBiTD7DOV_GWH5Y-ZG3yk4YiIZWz33YJ8dtOqu1jRhUOmXI5STApLRTBDOX5uRycfY1JiPM0wt-0UGxqMofK3FUL8tDuNh0bMoq-T4fBzf3P3_DbPzfnj-GR8nOFItpYjyBPeyfwsN76INHsDhdLr6IgEPMxurFqhOBYXS5AhYGMeWIr8W3XvSrPvtoxzUfuIw0463j2fIMrpZnl6fnWaqokHlS7ENGtgeSzeOcMbZz7OqQug9Fp0iStS8UNeeIVtIAWZ8HLG3FeG_Bdoq8zVqWz-GAPokvQHTal5acJ2uJ985Ih01d1JrBc5oihDADueFx6xPcOFe9-NFGt0OaloeFq2AWbeLODN5vH7mZsDZ2ER8xm-8RptvHm4FskzSuW01zg8ONegZvt60kRhwbsT2uxnVLdoqsddPspiBzLd9BQdaUaozZRaE1eXTUD_EPCiMV-ZRalS___n_H8CDWo4m5Q6_gYLgd8TWZRYN7E-XhDq5ACGY
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR3LbtQwcFTKAXooj4JYSqkPnBDZOk_bx1XVZYFuD7CVeov8ioRAWdRNLv16ZhzvqhRY9RbFk8SZ8XhmPC-Ad5lvRJ65JvGNkUlRKpMoVVgkSGGlE0JyS-eQ84tqdll8viqvduDDJhfGex-Cz_yYLoMv3y1tT0dlJ1SIBnfPB_CwpGTcIVtr4zMoZIyRS5GFUWxHH2bK1clicvYthCOM4yv-kEKhrcpfe3EQMNMnMF9PbYgr-THuOzO2N3eqNt537k9hP2qabDIsjWew49vnsHer_uABTE6nk6_M-S7EY7Vs2TBHhXSpB5Z3bIgSX7HvLWuXbfJR9ytKuQww_bWh9fICLqdni9NZEnsqJBZFe5eg9uFR6zFGKd0YMnZQ4LusEcjL0mYCh1PvNUcSaZs6n-uCKr453Qi0N0uev4Rd_KR_BayRNtdoPmmNuDeKG1-VWSmpfE6VOedGwNc4rm0sOE59L37WwfDgqiayUB_MrI7YGcH7zSO_hmob24APCM23AOPtwzUh68iPq1ri2iCHoxzB8WYUGYm8I7r1y35Vo6bCS1lV2yFQYUu3QKA-JSqltkFIiTYdzoP9B0JxgValFPnrf__fMTyaLebn9fmniy-H8Dh0pwmRRG9gt7vu_REqSZ15G3jjN5SrC64
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=CFAR+detection+of+distributed+targets+in+non-Gaussian+disturbance&rft.jtitle=IEEE+transactions+on+aerospace+and+electronic+systems&rft.au=Conte%2C+E.&rft.au=De+Maio%2C+A.&rft.au=Ricci%2C+G.&rft.date=2002-04-01&rft.pub=IEEE&rft.issn=0018-9251&rft.volume=38&rft.issue=2&rft.spage=612&rft.epage=621&rft_id=info:doi/10.1109%2FTAES.2002.1008990&rft.externalDocID=1008990
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9251&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9251&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9251&client=summon