Development of a networked photonic‐enabled staring radar testbed for urban surveillance

Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisatio...
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Autor*in:	Mohammed Jahangir [verfasserIn] Darren Griffiths [verfasserIn] Daniel White [verfasserIn] Gwynfor Donlan [verfasserIn] Xiaofei Ren [verfasserIn] Jithin Kannanthara [verfasserIn] Yeshpal Singh [verfasserIn] Joseph P. Wayman [verfasserIn] Chris J. Baker [verfasserIn] Jon P. Sadler [verfasserIn] S. James Reynolds [verfasserIn] Michail Antoniou [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	doppler radar micro doppler radar radar clutter radar target recognition

Übergeordnetes Werk:	In: IET Radar, Sonar & Navigation - Wiley, 2021, 18(2024), 1, Seite 41-55
Übergeordnetes Werk:	volume:18 ; year:2024 ; number:1 ; pages:41-55

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1049/rsn2.12524

Katalog-ID:	DOAJ096137886

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520			\|a Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter.
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spelling	10.1049/rsn2.12524 doi (DE-627)DOAJ096137886 (DE-599)DOAJ327518d1881b43bb9e1a1ca5375d38e3 DE-627 ger DE-627 rakwb eng TK5101-6720 Mohammed Jahangir verfasserin aut Development of a networked photonic‐enabled staring radar testbed for urban surveillance 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter. doppler radar micro doppler radar radar clutter radar target recognition Telecommunication Darren Griffiths verfasserin aut Daniel White verfasserin aut Gwynfor Donlan verfasserin aut Xiaofei Ren verfasserin aut Jithin Kannanthara verfasserin aut Yeshpal Singh verfasserin aut Joseph P. Wayman verfasserin aut Chris J. Baker verfasserin aut Jon P. Sadler verfasserin aut S. James Reynolds verfasserin aut Michail Antoniou verfasserin aut In IET Radar, Sonar & Navigation Wiley, 2021 18(2024), 1, Seite 41-55 (DE-627)521693691 (DE-600)2264531-7 17518792 nnns volume:18 year:2024 number:1 pages:41-55 https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/article/327518d1881b43bb9e1a1ca5375d38e3 kostenfrei https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/toc/1751-8784 Journal toc kostenfrei https://doaj.org/toc/1751-8792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 41-55
allfields_unstemmed	10.1049/rsn2.12524 doi (DE-627)DOAJ096137886 (DE-599)DOAJ327518d1881b43bb9e1a1ca5375d38e3 DE-627 ger DE-627 rakwb eng TK5101-6720 Mohammed Jahangir verfasserin aut Development of a networked photonic‐enabled staring radar testbed for urban surveillance 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter. doppler radar micro doppler radar radar clutter radar target recognition Telecommunication Darren Griffiths verfasserin aut Daniel White verfasserin aut Gwynfor Donlan verfasserin aut Xiaofei Ren verfasserin aut Jithin Kannanthara verfasserin aut Yeshpal Singh verfasserin aut Joseph P. Wayman verfasserin aut Chris J. Baker verfasserin aut Jon P. Sadler verfasserin aut S. James Reynolds verfasserin aut Michail Antoniou verfasserin aut In IET Radar, Sonar & Navigation Wiley, 2021 18(2024), 1, Seite 41-55 (DE-627)521693691 (DE-600)2264531-7 17518792 nnns volume:18 year:2024 number:1 pages:41-55 https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/article/327518d1881b43bb9e1a1ca5375d38e3 kostenfrei https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/toc/1751-8784 Journal toc kostenfrei https://doaj.org/toc/1751-8792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 41-55
allfieldsGer	10.1049/rsn2.12524 doi (DE-627)DOAJ096137886 (DE-599)DOAJ327518d1881b43bb9e1a1ca5375d38e3 DE-627 ger DE-627 rakwb eng TK5101-6720 Mohammed Jahangir verfasserin aut Development of a networked photonic‐enabled staring radar testbed for urban surveillance 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter. doppler radar micro doppler radar radar clutter radar target recognition Telecommunication Darren Griffiths verfasserin aut Daniel White verfasserin aut Gwynfor Donlan verfasserin aut Xiaofei Ren verfasserin aut Jithin Kannanthara verfasserin aut Yeshpal Singh verfasserin aut Joseph P. Wayman verfasserin aut Chris J. Baker verfasserin aut Jon P. Sadler verfasserin aut S. James Reynolds verfasserin aut Michail Antoniou verfasserin aut In IET Radar, Sonar & Navigation Wiley, 2021 18(2024), 1, Seite 41-55 (DE-627)521693691 (DE-600)2264531-7 17518792 nnns volume:18 year:2024 number:1 pages:41-55 https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/article/327518d1881b43bb9e1a1ca5375d38e3 kostenfrei https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/toc/1751-8784 Journal toc kostenfrei https://doaj.org/toc/1751-8792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 41-55
allfieldsSound	10.1049/rsn2.12524 doi (DE-627)DOAJ096137886 (DE-599)DOAJ327518d1881b43bb9e1a1ca5375d38e3 DE-627 ger DE-627 rakwb eng TK5101-6720 Mohammed Jahangir verfasserin aut Development of a networked photonic‐enabled staring radar testbed for urban surveillance 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter. doppler radar micro doppler radar radar clutter radar target recognition Telecommunication Darren Griffiths verfasserin aut Daniel White verfasserin aut Gwynfor Donlan verfasserin aut Xiaofei Ren verfasserin aut Jithin Kannanthara verfasserin aut Yeshpal Singh verfasserin aut Joseph P. Wayman verfasserin aut Chris J. Baker verfasserin aut Jon P. Sadler verfasserin aut S. James Reynolds verfasserin aut Michail Antoniou verfasserin aut In IET Radar, Sonar & Navigation Wiley, 2021 18(2024), 1, Seite 41-55 (DE-627)521693691 (DE-600)2264531-7 17518792 nnns volume:18 year:2024 number:1 pages:41-55 https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/article/327518d1881b43bb9e1a1ca5375d38e3 kostenfrei https://doi.org/10.1049/rsn2.12524 kostenfrei https://doaj.org/toc/1751-8784 Journal toc kostenfrei https://doaj.org/toc/1751-8792 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2024 1 41-55
language	English
source	In IET Radar, Sonar & Navigation 18(2024), 1, Seite 41-55 volume:18 year:2024 number:1 pages:41-55
sourceStr	In IET Radar, Sonar & Navigation 18(2024), 1, Seite 41-55 volume:18 year:2024 number:1 pages:41-55
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	doppler radar micro doppler radar radar clutter radar target recognition Telecommunication
isfreeaccess_bool	true
container_title	IET Radar, Sonar & Navigation
authorswithroles_txt_mv	Mohammed Jahangir @@aut@@ Darren Griffiths @@aut@@ Daniel White @@aut@@ Gwynfor Donlan @@aut@@ Xiaofei Ren @@aut@@ Jithin Kannanthara @@aut@@ Yeshpal Singh @@aut@@ Joseph P. Wayman @@aut@@ Chris J. Baker @@aut@@ Jon P. Sadler @@aut@@ S. James Reynolds @@aut@@ Michail Antoniou @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	521693691
id	DOAJ096137886
language_de	englisch
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callnumber-first	T - Technology
author	Mohammed Jahangir
spellingShingle	Mohammed Jahangir misc TK5101-6720 misc doppler radar misc micro doppler misc radar misc radar clutter misc radar target recognition misc Telecommunication Development of a networked photonic‐enabled staring radar testbed for urban surveillance
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topic_title	TK5101-6720 Development of a networked photonic‐enabled staring radar testbed for urban surveillance doppler radar micro doppler radar radar clutter radar target recognition
topic	misc TK5101-6720 misc doppler radar misc micro doppler misc radar misc radar clutter misc radar target recognition misc Telecommunication
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title	Development of a networked photonic‐enabled staring radar testbed for urban surveillance
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title_full	Development of a networked photonic‐enabled staring radar testbed for urban surveillance
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title_sort	development of a networked photonic‐enabled staring radar testbed for urban surveillance
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title_auth	Development of a networked photonic‐enabled staring radar testbed for urban surveillance
abstract	Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter.
abstractGer	Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter.
abstract_unstemmed	Abstract Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set‐up a testbed of two L‐band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand‐alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic‐enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter.
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title_short	Development of a networked photonic‐enabled staring radar testbed for urban surveillance
url	https://doi.org/10.1049/rsn2.12524 https://doaj.org/article/327518d1881b43bb9e1a1ca5375d38e3 https://doaj.org/toc/1751-8784 https://doaj.org/toc/1751-8792
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up_date	2024-07-03T18:30:24.928Z
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Development of a networked photonic‐enabled staring radar testbed for urban surveillance

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