Meteorological clutter suppression method for ball-borne radar based on Kalmus filter

Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Xiaohan Zhang [verfasserIn] Runhua Liu [verfasserIn] Feng Wang [verfasserIn] Yuwen Tang [verfasserIn] Wentao Su [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method

Übergeordnetes Werk:	In: The Journal of Engineering - Wiley, 2013, (2019)
Übergeordnetes Werk:	year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1049/joe.2019.0738

Katalog-ID:	DOAJ014569329

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245	1	0	\|a Meteorological clutter suppression method for ball-borne radar based on Kalmus filter
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520			\|a Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target.
650		4	\|a autonomous aerial vehicles
650		4	\|a target tracking
650		4	\|a radar detection
650		4	\|a radar clutter
650		4	\|a marine radar
650		4	\|a radar antennas
650		4	\|a radar signal processing
650		4	\|a remotely operated vehicles
650		4	\|a uav target
650		4	\|a detection performance
650		4	\|a velocity-corrected kalmus filter
650		4	\|a radar echo
650		4	\|a detection method
650		4	\|a unmanned aerial vehicle target
650		4	\|a ball-borne radar
650		4	\|a meteorological clutter suppression method
653		0	\|a Engineering (General). Civil engineering (General)
700	0		\|a Runhua Liu \|e verfasserin \|4 aut
700	0		\|a Feng Wang \|e verfasserin \|4 aut
700	0		\|a Yuwen Tang \|e verfasserin \|4 aut
700	0		\|a Wentao Su \|e verfasserin \|4 aut
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951			\|a AR
952			\|j 2019

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publishDate	2019
allfields	10.1049/joe.2019.0738 doi (DE-627)DOAJ014569329 (DE-599)DOAJ3c62e65043a54313b12da1f796402640 DE-627 ger DE-627 rakwb eng TA1-2040 Xiaohan Zhang verfasserin aut Meteorological clutter suppression method for ball-borne radar based on Kalmus filter 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target. autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method Engineering (General). Civil engineering (General) Runhua Liu verfasserin aut Feng Wang verfasserin aut Yuwen Tang verfasserin aut Wentao Su verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2019.0738 kostenfrei https://doaj.org/article/3c62e65043a54313b12da1f796402640 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738 kostenfrei https://doaj.org/toc/2051-3305 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_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_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 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_2110 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 2019
spelling	10.1049/joe.2019.0738 doi (DE-627)DOAJ014569329 (DE-599)DOAJ3c62e65043a54313b12da1f796402640 DE-627 ger DE-627 rakwb eng TA1-2040 Xiaohan Zhang verfasserin aut Meteorological clutter suppression method for ball-borne radar based on Kalmus filter 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target. autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method Engineering (General). Civil engineering (General) Runhua Liu verfasserin aut Feng Wang verfasserin aut Yuwen Tang verfasserin aut Wentao Su verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2019.0738 kostenfrei https://doaj.org/article/3c62e65043a54313b12da1f796402640 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738 kostenfrei https://doaj.org/toc/2051-3305 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_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_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 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_2110 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 2019
allfields_unstemmed	10.1049/joe.2019.0738 doi (DE-627)DOAJ014569329 (DE-599)DOAJ3c62e65043a54313b12da1f796402640 DE-627 ger DE-627 rakwb eng TA1-2040 Xiaohan Zhang verfasserin aut Meteorological clutter suppression method for ball-borne radar based on Kalmus filter 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target. autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method Engineering (General). Civil engineering (General) Runhua Liu verfasserin aut Feng Wang verfasserin aut Yuwen Tang verfasserin aut Wentao Su verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2019.0738 kostenfrei https://doaj.org/article/3c62e65043a54313b12da1f796402640 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738 kostenfrei https://doaj.org/toc/2051-3305 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_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_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 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_2110 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 2019
allfieldsGer	10.1049/joe.2019.0738 doi (DE-627)DOAJ014569329 (DE-599)DOAJ3c62e65043a54313b12da1f796402640 DE-627 ger DE-627 rakwb eng TA1-2040 Xiaohan Zhang verfasserin aut Meteorological clutter suppression method for ball-borne radar based on Kalmus filter 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target. autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method Engineering (General). Civil engineering (General) Runhua Liu verfasserin aut Feng Wang verfasserin aut Yuwen Tang verfasserin aut Wentao Su verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2019.0738 kostenfrei https://doaj.org/article/3c62e65043a54313b12da1f796402640 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738 kostenfrei https://doaj.org/toc/2051-3305 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_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_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 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_2110 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 2019
allfieldsSound	10.1049/joe.2019.0738 doi (DE-627)DOAJ014569329 (DE-599)DOAJ3c62e65043a54313b12da1f796402640 DE-627 ger DE-627 rakwb eng TA1-2040 Xiaohan Zhang verfasserin aut Meteorological clutter suppression method for ball-borne radar based on Kalmus filter 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target. autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method Engineering (General). Civil engineering (General) Runhua Liu verfasserin aut Feng Wang verfasserin aut Yuwen Tang verfasserin aut Wentao Su verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2019.0738 kostenfrei https://doaj.org/article/3c62e65043a54313b12da1f796402640 kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738 kostenfrei https://doaj.org/toc/2051-3305 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_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_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 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_2110 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 2019
language	English
source	In The Journal of Engineering (2019) year:2019
sourceStr	In The Journal of Engineering (2019) year:2019
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method Engineering (General). Civil engineering (General)
isfreeaccess_bool	true
container_title	The Journal of Engineering
authorswithroles_txt_mv	Xiaohan Zhang @@aut@@ Runhua Liu @@aut@@ Feng Wang @@aut@@ Yuwen Tang @@aut@@ Wentao Su @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	75682270X
id	DOAJ014569329
language_de	englisch
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callnumber-first	T - Technology
author	Xiaohan Zhang
spellingShingle	Xiaohan Zhang misc TA1-2040 misc autonomous aerial vehicles misc target tracking misc radar detection misc radar clutter misc marine radar misc radar antennas misc radar signal processing misc remotely operated vehicles misc uav target misc detection performance misc velocity-corrected kalmus filter misc radar echo misc detection method misc unmanned aerial vehicle target misc ball-borne radar misc meteorological clutter suppression method misc Engineering (General). Civil engineering (General) Meteorological clutter suppression method for ball-borne radar based on Kalmus filter
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topic_title	TA1-2040 Meteorological clutter suppression method for ball-borne radar based on Kalmus filter autonomous aerial vehicles target tracking radar detection radar clutter marine radar radar antennas radar signal processing remotely operated vehicles uav target detection performance velocity-corrected kalmus filter radar echo detection method unmanned aerial vehicle target ball-borne radar meteorological clutter suppression method
topic	misc TA1-2040 misc autonomous aerial vehicles misc target tracking misc radar detection misc radar clutter misc marine radar misc radar antennas misc radar signal processing misc remotely operated vehicles misc uav target misc detection performance misc velocity-corrected kalmus filter misc radar echo misc detection method misc unmanned aerial vehicle target misc ball-borne radar misc meteorological clutter suppression method misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc autonomous aerial vehicles misc target tracking misc radar detection misc radar clutter misc marine radar misc radar antennas misc radar signal processing misc remotely operated vehicles misc uav target misc detection performance misc velocity-corrected kalmus filter misc radar echo misc detection method misc unmanned aerial vehicle target misc ball-borne radar misc meteorological clutter suppression method misc Engineering (General). Civil engineering (General)
topic_browse	misc TA1-2040 misc autonomous aerial vehicles misc target tracking misc radar detection misc radar clutter misc marine radar misc radar antennas misc radar signal processing misc remotely operated vehicles misc uav target misc detection performance misc velocity-corrected kalmus filter misc radar echo misc detection method misc unmanned aerial vehicle target misc ball-borne radar misc meteorological clutter suppression method misc Engineering (General). Civil engineering (General)
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title	Meteorological clutter suppression method for ball-borne radar based on Kalmus filter
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title_full	Meteorological clutter suppression method for ball-borne radar based on Kalmus filter
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author_browse	Xiaohan Zhang Runhua Liu Feng Wang Yuwen Tang Wentao Su
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doi_str_mv	10.1049/joe.2019.0738
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title_sort	meteorological clutter suppression method for ball-borne radar based on kalmus filter
callnumber	TA1-2040
title_auth	Meteorological clutter suppression method for ball-borne radar based on Kalmus filter
abstract	Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target.
abstractGer	Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target.
abstract_unstemmed	Aimed at the problem that the unmanned aerial vehicle (UAV) target is difficult to be detected in the meteorological clutter because of their close velocity, a new detection method is proposed for the ball-borne radar based on Kalmus filter. Firstly, the radar echo is compressed by pulse compression. Then, the meteorological clutter is filtered out by the velocity-corrected Kalmus filter. Finally, CFAR is employed for detection. The simulation results show that this method can effectively suppress the meteorological clutter and improve the detection performance of the ball-borne radar to UAV target.
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title_short	Meteorological clutter suppression method for ball-borne radar based on Kalmus filter
url	https://doi.org/10.1049/joe.2019.0738 https://doaj.org/article/3c62e65043a54313b12da1f796402640 https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0738 https://doaj.org/toc/2051-3305
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up_date	2024-07-03T23:37:32.342Z
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Meteorological clutter suppression method for ball-borne radar based on Kalmus filter

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