Loading…
A Sparsity-Based Passive Multistatic Detector
In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provi...
Saved in:
| Published in: | IEEE transactions on aerospace and electronic systems 2019-12, Vol.55 (6), p.3658-3666 |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133 |
| container_end_page | 3666 |
| container_issue | 6 |
| container_start_page | 3658 |
| container_title | IEEE transactions on aerospace and electronic systems |
| container_volume | 55 |
| creator | Zhang, Xin Sward, Johan Li, Hongbin Jakobsson, Andreas Himed, Braham |
| description | In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model the IO signals as unknown without any specific structures. |
| doi_str_mv | 10.1109/TAES.2019.2895710 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TAES_2019_2895710</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8631164</ieee_id><sourcerecordid>2322746947</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133</originalsourceid><addsrcrecordid>eNo9UNtKAzEQDaJgrX6A-LLg89ZMsrnMY631AhWF1ueQ3U1gS3XXZFfp35uyRYbDzMCZMzOHkGugMwCKd5v5cj1jFHDGNAoF9IRMQAiVo6T8lEwoBZ0jE3BOLmLcprbQBZ-QfJ6tOxti0-_zextdnb3bGJsfl70Ou76Jve2bKntwvav6NlySM2930V0d85R8PC43i-d89fb0spiv8opL1ucAQvMUstK1s8JCLa1FWzqKQnBRcqUYInINCjhUpaol-lQj2nQtcD4lq1E3_rpuKE0Xmk8b9qa1jdkNXUKZYKIzNVSoPGPGgtKm0N4b9LU2WNm6VF4rp22Sux3lutB-Dy72ZtsO4St9YBhnTBUSC5VYMLKq0MYYnP9fC9QcTDYHk83BZHM0Oc3cjDONc-6fryUHkAX_A-PVdcw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2322746947</pqid></control><display><type>article</type><title>A Sparsity-Based Passive Multistatic Detector</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Zhang, Xin ; Sward, Johan ; Li, Hongbin ; Jakobsson, Andreas ; Himed, Braham</creator><creatorcontrib>Zhang, Xin ; Sward, Johan ; Li, Hongbin ; Jakobsson, Andreas ; Himed, Braham</creatorcontrib><description>In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model the IO signals as unknown without any specific structures.</description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/TAES.2019.2895710</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Cellular radio ; Computer simulation ; Delays ; Detectors ; Doppler effect ; Eigenvalues and eigenfunctions ; Frequency modulation ; Generalized likelihood ratio test (GLRT) ; Illuminators ; Matematik ; Mathematics ; multistatic passive radar ; Natural Sciences ; Naturvetenskap ; Passive radar ; Probability Theory and Statistics ; Radar equipment ; Receivers ; Sannolikhetsteori och statistik ; Sensors ; sparse signal ; Sparsity ; Surveillance radar ; Target detection</subject><ispartof>IEEE transactions on aerospace and electronic systems, 2019-12, Vol.55 (6), p.3658-3666</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133</citedby><cites>FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133</cites><orcidid>0000-0003-1453-847X ; 0000-0002-9368-8435 ; 0000-0001-8251-0554 ; 0000-0002-2156-6973</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8631164$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,54796</link.rule.ids><backlink>$$Uhttps://lup.lub.lu.se/record/d1c97f22-a178-48ff-9fd8-9cadb7f87e8a$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Sward, Johan</creatorcontrib><creatorcontrib>Li, Hongbin</creatorcontrib><creatorcontrib>Jakobsson, Andreas</creatorcontrib><creatorcontrib>Himed, Braham</creatorcontrib><title>A Sparsity-Based Passive Multistatic Detector</title><title>IEEE transactions on aerospace and electronic systems</title><addtitle>T-AES</addtitle><description>In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model the IO signals as unknown without any specific structures.</description><subject>Cellular radio</subject><subject>Computer simulation</subject><subject>Delays</subject><subject>Detectors</subject><subject>Doppler effect</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Frequency modulation</subject><subject>Generalized likelihood ratio test (GLRT)</subject><subject>Illuminators</subject><subject>Matematik</subject><subject>Mathematics</subject><subject>multistatic passive radar</subject><subject>Natural Sciences</subject><subject>Naturvetenskap</subject><subject>Passive radar</subject><subject>Probability Theory and Statistics</subject><subject>Radar equipment</subject><subject>Receivers</subject><subject>Sannolikhetsteori och statistik</subject><subject>Sensors</subject><subject>sparse signal</subject><subject>Sparsity</subject><subject>Surveillance radar</subject><subject>Target detection</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo9UNtKAzEQDaJgrX6A-LLg89ZMsrnMY631AhWF1ueQ3U1gS3XXZFfp35uyRYbDzMCZMzOHkGugMwCKd5v5cj1jFHDGNAoF9IRMQAiVo6T8lEwoBZ0jE3BOLmLcprbQBZ-QfJ6tOxti0-_zextdnb3bGJsfl70Ou76Jve2bKntwvav6NlySM2930V0d85R8PC43i-d89fb0spiv8opL1ucAQvMUstK1s8JCLa1FWzqKQnBRcqUYInINCjhUpaol-lQj2nQtcD4lq1E3_rpuKE0Xmk8b9qa1jdkNXUKZYKIzNVSoPGPGgtKm0N4b9LU2WNm6VF4rp22Sux3lutB-Dy72ZtsO4St9YBhnTBUSC5VYMLKq0MYYnP9fC9QcTDYHk83BZHM0Oc3cjDONc-6fryUHkAX_A-PVdcw</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Zhang, Xin</creator><creator>Sward, Johan</creator><creator>Li, Hongbin</creator><creator>Jakobsson, Andreas</creator><creator>Himed, Braham</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D95</scope><orcidid>https://orcid.org/0000-0003-1453-847X</orcidid><orcidid>https://orcid.org/0000-0002-9368-8435</orcidid><orcidid>https://orcid.org/0000-0001-8251-0554</orcidid><orcidid>https://orcid.org/0000-0002-2156-6973</orcidid></search><sort><creationdate>20191201</creationdate><title>A Sparsity-Based Passive Multistatic Detector</title><author>Zhang, Xin ; Sward, Johan ; Li, Hongbin ; Jakobsson, Andreas ; Himed, Braham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cellular radio</topic><topic>Computer simulation</topic><topic>Delays</topic><topic>Detectors</topic><topic>Doppler effect</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Frequency modulation</topic><topic>Generalized likelihood ratio test (GLRT)</topic><topic>Illuminators</topic><topic>Matematik</topic><topic>Mathematics</topic><topic>multistatic passive radar</topic><topic>Natural Sciences</topic><topic>Naturvetenskap</topic><topic>Passive radar</topic><topic>Probability Theory and Statistics</topic><topic>Radar equipment</topic><topic>Receivers</topic><topic>Sannolikhetsteori och statistik</topic><topic>Sensors</topic><topic>sparse signal</topic><topic>Sparsity</topic><topic>Surveillance radar</topic><topic>Target detection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Sward, Johan</creatorcontrib><creatorcontrib>Li, Hongbin</creatorcontrib><creatorcontrib>Jakobsson, Andreas</creatorcontrib><creatorcontrib>Himed, Braham</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEL</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Lunds universitet</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xin</au><au>Sward, Johan</au><au>Li, Hongbin</au><au>Jakobsson, Andreas</au><au>Himed, Braham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Sparsity-Based Passive Multistatic Detector</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>55</volume><issue>6</issue><spage>3658</spage><epage>3666</epage><pages>3658-3666</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>In this paper, we examine the problem of target detection for the multistatic passive radar. Passive radar systems leverage the existing wireless sources, such as radio/TV stations and cellular signals that are referred to as illuminators of opportunity (IOs), to illuminate the environment and provide surveillance functions. Usually, these IO source signals are sparse or locally sparse in the frequency domain. We develop a passive multistatic detector by exploiting the sparsity or local sparsity of the IO signals. To improve the computational efficiency, two fast implementations of the proposed detector are also introduced. Simulation results show that the proposed approaches outperform the conventional passive detection methods that model the IO signals as unknown without any specific structures.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAES.2019.2895710</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1453-847X</orcidid><orcidid>https://orcid.org/0000-0002-9368-8435</orcidid><orcidid>https://orcid.org/0000-0001-8251-0554</orcidid><orcidid>https://orcid.org/0000-0002-2156-6973</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0018-9251 |
| ispartof | IEEE transactions on aerospace and electronic systems, 2019-12, Vol.55 (6), p.3658-3666 |
| issn | 0018-9251 1557-9603 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TAES_2019_2895710 |
| source | IEEE Electronic Library (IEL) Journals |
| subjects | Cellular radio Computer simulation Delays Detectors Doppler effect Eigenvalues and eigenfunctions Frequency modulation Generalized likelihood ratio test (GLRT) Illuminators Matematik Mathematics multistatic passive radar Natural Sciences Naturvetenskap Passive radar Probability Theory and Statistics Radar equipment Receivers Sannolikhetsteori och statistik Sensors sparse signal Sparsity Surveillance radar Target detection |
| title | A Sparsity-Based Passive Multistatic Detector |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T12%3A33%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Sparsity-Based%20Passive%20Multistatic%20Detector&rft.jtitle=IEEE%20transactions%20on%20aerospace%20and%20electronic%20systems&rft.au=Zhang,%20Xin&rft.date=2019-12-01&rft.volume=55&rft.issue=6&rft.spage=3658&rft.epage=3666&rft.pages=3658-3666&rft.issn=0018-9251&rft.eissn=1557-9603&rft.coden=IEARAX&rft_id=info:doi/10.1109/TAES.2019.2895710&rft_dat=%3Cproquest_cross%3E2322746947%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c362t-115838386c8dea5a1d6aa9abe095535b37729993817131cb7d69f17199a603133%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2322746947&rft_id=info:pmid/&rft_ieee_id=8631164&rfr_iscdi=true |