Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept
Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for...
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| Autor*in: |
Shi, Chenguang [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Multidimensional systems and signal processing - Springer US, 1990, 29(2017), 4 vom: 15. Mai, Seite 1203-1226 |
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| Übergeordnetes Werk: |
volume:29 ; year:2017 ; number:4 ; day:15 ; month:05 ; pages:1203-1226 |
| Links: |
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| DOI / URN: |
10.1007/s11045-017-0494-8 |
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OLC2048109829 |
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| 520 | |a Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. | ||
| 650 | 4 | |a Low probability of intercept (LPI) | |
| 650 | 4 | |a Resource management | |
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| 650 | 4 | |a Radar networks | |
| 650 | 4 | |a Target tracking | |
| 700 | 1 | |a Zhou, Jianjiang |4 aut | |
| 700 | 1 | |a Wang, Fei |4 aut | |
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10.1007/s11045-017-0494-8 doi (DE-627)OLC2048109829 (DE-He213)s11045-017-0494-8-p DE-627 ger DE-627 rakwb eng 510 VZ Shi, Chenguang verfasserin (orcid)0000-0002-2507-2954 aut Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. Low probability of intercept (LPI) Resource management Intercept probability Radar networks Target tracking Zhou, Jianjiang aut Wang, Fei aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 29(2017), 4 vom: 15. Mai, Seite 1203-1226 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:29 year:2017 number:4 day:15 month:05 pages:1203-1226 https://doi.org/10.1007/s11045-017-0494-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 29 2017 4 15 05 1203-1226 |
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10.1007/s11045-017-0494-8 doi (DE-627)OLC2048109829 (DE-He213)s11045-017-0494-8-p DE-627 ger DE-627 rakwb eng 510 VZ Shi, Chenguang verfasserin (orcid)0000-0002-2507-2954 aut Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. Low probability of intercept (LPI) Resource management Intercept probability Radar networks Target tracking Zhou, Jianjiang aut Wang, Fei aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 29(2017), 4 vom: 15. Mai, Seite 1203-1226 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:29 year:2017 number:4 day:15 month:05 pages:1203-1226 https://doi.org/10.1007/s11045-017-0494-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 29 2017 4 15 05 1203-1226 |
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10.1007/s11045-017-0494-8 doi (DE-627)OLC2048109829 (DE-He213)s11045-017-0494-8-p DE-627 ger DE-627 rakwb eng 510 VZ Shi, Chenguang verfasserin (orcid)0000-0002-2507-2954 aut Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. Low probability of intercept (LPI) Resource management Intercept probability Radar networks Target tracking Zhou, Jianjiang aut Wang, Fei aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 29(2017), 4 vom: 15. Mai, Seite 1203-1226 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:29 year:2017 number:4 day:15 month:05 pages:1203-1226 https://doi.org/10.1007/s11045-017-0494-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 29 2017 4 15 05 1203-1226 |
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10.1007/s11045-017-0494-8 doi (DE-627)OLC2048109829 (DE-He213)s11045-017-0494-8-p DE-627 ger DE-627 rakwb eng 510 VZ Shi, Chenguang verfasserin (orcid)0000-0002-2507-2954 aut Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. Low probability of intercept (LPI) Resource management Intercept probability Radar networks Target tracking Zhou, Jianjiang aut Wang, Fei aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 29(2017), 4 vom: 15. Mai, Seite 1203-1226 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:29 year:2017 number:4 day:15 month:05 pages:1203-1226 https://doi.org/10.1007/s11045-017-0494-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 29 2017 4 15 05 1203-1226 |
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10.1007/s11045-017-0494-8 doi (DE-627)OLC2048109829 (DE-He213)s11045-017-0494-8-p DE-627 ger DE-627 rakwb eng 510 VZ Shi, Chenguang verfasserin (orcid)0000-0002-2507-2954 aut Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. Low probability of intercept (LPI) Resource management Intercept probability Radar networks Target tracking Zhou, Jianjiang aut Wang, Fei aut Enthalten in Multidimensional systems and signal processing Springer US, 1990 29(2017), 4 vom: 15. Mai, Seite 1203-1226 (DE-627)130892076 (DE-600)1041098-3 (DE-576)038686074 0923-6082 nnns volume:29 year:2017 number:4 day:15 month:05 pages:1203-1226 https://doi.org/10.1007/s11045-017-0494-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 29 2017 4 15 05 1203-1226 |
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Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. © Springer Science+Business Media New York 2017 |
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Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. © Springer Science+Business Media New York 2017 |
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Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations. © Springer Science+Business Media New York 2017 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2048109829</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503194616.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11045-017-0494-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048109829</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11045-017-0494-8-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Shi, Chenguang</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-2507-2954</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, a low probability of intercept (LPI) performance driven adaptive resource management algorithm for target tracking in a radar network is presented, where the radar network consists of a dedicated radar transmitter and multiple receivers. Firstly, the intercept probability for radar network systems is derived. Then, an adaptive resource management scheme based on LPI is proposed, in which a novel objective function for LPI performance is defined and minimized by optimizing the revisit interval, dwell time, and transmit power in radar networks to guarantee a specific target tracking accuracy with passive time difference of arrival and frequency difference of arrival cooperation. Numerical simulations demonstrate the superior performance of the proposed adaptive resource management scheme over other methods via Monte Carlo simulations.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Low probability of intercept (LPI)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Resource management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intercept probability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Radar networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Target tracking</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Jianjiang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Fei</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Multidimensional systems and signal processing</subfield><subfield code="d">Springer US, 1990</subfield><subfield code="g">29(2017), 4 vom: 15. Mai, Seite 1203-1226</subfield><subfield code="w">(DE-627)130892076</subfield><subfield code="w">(DE-600)1041098-3</subfield><subfield code="w">(DE-576)038686074</subfield><subfield code="x">0923-6082</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:29</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:4</subfield><subfield code="g">day:15</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:1203-1226</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11045-017-0494-8</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">29</subfield><subfield code="j">2017</subfield><subfield code="e">4</subfield><subfield code="b">15</subfield><subfield code="c">05</subfield><subfield code="h">1203-1226</subfield></datafield></record></collection>
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