Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation

In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather rad...
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Autor*in:	Shaojun Dai [verfasserIn] Xuehua Li [verfasserIn] Zhichao Bu [verfasserIn] Yajun Chen [verfasserIn] Jianxin He [verfasserIn] Minghua Li [verfasserIn] Maojie Xiong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	dual-polarization echo simulation range ambiguity batch model phase coding

Übergeordnetes Werk:	In: Atmosphere - MDPI AG, 2011, 13(2022), 3, p 432
Übergeordnetes Werk:	volume:13 ; year:2022 ; number:3, p 432

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/atmos13030432

Katalog-ID:	DOAJ047684992

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520			\|a In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars.
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allfields	10.3390/atmos13030432 doi (DE-627)DOAJ047684992 (DE-599)DOAJc8a343fbea8a46a683b1d80d90057de4 DE-627 ger DE-627 rakwb eng QC851-999 Shaojun Dai verfasserin aut Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars. dual-polarization echo simulation range ambiguity batch model phase coding Meteorology. Climatology Xuehua Li verfasserin aut Zhichao Bu verfasserin aut Yajun Chen verfasserin aut Jianxin He verfasserin aut Minghua Li verfasserin aut Maojie Xiong verfasserin aut In Atmosphere MDPI AG, 2011 13(2022), 3, p 432 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:13 year:2022 number:3, p 432 https://doi.org/10.3390/atmos13030432 kostenfrei https://doaj.org/article/c8a343fbea8a46a683b1d80d90057de4 kostenfrei https://www.mdpi.com/2073-4433/13/3/432 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 3, p 432
spelling	10.3390/atmos13030432 doi (DE-627)DOAJ047684992 (DE-599)DOAJc8a343fbea8a46a683b1d80d90057de4 DE-627 ger DE-627 rakwb eng QC851-999 Shaojun Dai verfasserin aut Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars. dual-polarization echo simulation range ambiguity batch model phase coding Meteorology. Climatology Xuehua Li verfasserin aut Zhichao Bu verfasserin aut Yajun Chen verfasserin aut Jianxin He verfasserin aut Minghua Li verfasserin aut Maojie Xiong verfasserin aut In Atmosphere MDPI AG, 2011 13(2022), 3, p 432 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:13 year:2022 number:3, p 432 https://doi.org/10.3390/atmos13030432 kostenfrei https://doaj.org/article/c8a343fbea8a46a683b1d80d90057de4 kostenfrei https://www.mdpi.com/2073-4433/13/3/432 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 3, p 432
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allfieldsSound	10.3390/atmos13030432 doi (DE-627)DOAJ047684992 (DE-599)DOAJc8a343fbea8a46a683b1d80d90057de4 DE-627 ger DE-627 rakwb eng QC851-999 Shaojun Dai verfasserin aut Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars. dual-polarization echo simulation range ambiguity batch model phase coding Meteorology. Climatology Xuehua Li verfasserin aut Zhichao Bu verfasserin aut Yajun Chen verfasserin aut Jianxin He verfasserin aut Minghua Li verfasserin aut Maojie Xiong verfasserin aut In Atmosphere MDPI AG, 2011 13(2022), 3, p 432 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:13 year:2022 number:3, p 432 https://doi.org/10.3390/atmos13030432 kostenfrei https://doaj.org/article/c8a343fbea8a46a683b1d80d90057de4 kostenfrei https://www.mdpi.com/2073-4433/13/3/432 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 3, p 432
language	English
source	In Atmosphere 13(2022), 3, p 432 volume:13 year:2022 number:3, p 432
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authorswithroles_txt_mv	Shaojun Dai @@aut@@ Xuehua Li @@aut@@ Zhichao Bu @@aut@@ Yajun Chen @@aut@@ Jianxin He @@aut@@ Minghua Li @@aut@@ Maojie Xiong @@aut@@
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callnumber-first	Q - Science
author	Shaojun Dai
spellingShingle	Shaojun Dai misc QC851-999 misc dual-polarization misc echo simulation misc range ambiguity misc batch model misc phase coding misc Meteorology. Climatology Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation
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topic_title	QC851-999 Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation dual-polarization echo simulation range ambiguity batch model phase coding
topic	misc QC851-999 misc dual-polarization misc echo simulation misc range ambiguity misc batch model misc phase coding misc Meteorology. Climatology
topic_unstemmed	misc QC851-999 misc dual-polarization misc echo simulation misc range ambiguity misc batch model misc phase coding misc Meteorology. Climatology
topic_browse	misc QC851-999 misc dual-polarization misc echo simulation misc range ambiguity misc batch model misc phase coding misc Meteorology. Climatology
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title	Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation
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title_full	Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation
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author_browse	Shaojun Dai Xuehua Li Zhichao Bu Yajun Chen Jianxin He Minghua Li Maojie Xiong
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title_sort	signal simulation of dual-polarization weather radar and its application in range ambiguity mitigation
callnumber	QC851-999
title_auth	Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation
abstract	In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars.
abstractGer	In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars.
abstract_unstemmed	In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement of scanning strategies. The actual weather radar base data are used in the simulation as the reference weather scene, which avoids using a complex algorithm for weather modeling. Moreover, based on radar weather equations, the radar system parameters are added into the radar echo signal modeling to establish the relationship between the simulated echo signal and radar system. As a result, the final simulated echo signal not only shows both the time and frequency domain characteristics of the weather target, but also includes the effects of the important performance of the dual-polarization weather radar system. In addition, to evaluate the performance of range ambiguity mitigation using phase coding and batch working modes, two different simulation methods for the radar signal are established on the method above; one is for batch working mode with long-PRT (pulse repetition time) and short-PRT transmission and receiving, and the other is for phase-coded mode with phase-coded transmission and phase-uncoded receiving. Under the same weather scene, the observation of these two different methods of range ambiguity mitigation are simulated and compared. Results show that the performance of the phase coding mode for mitigating range ambiguity is better than that of the batch mode. Obviously, the simulation method can be used to directly show the observation of different algorithms for mitigation range ambiguity under the same weather process, and quickly compare and evaluate the algorithm’s performance, which is not possible for real radars.
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container_issue	3, p 432
title_short	Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation
url	https://doi.org/10.3390/atmos13030432 https://doaj.org/article/c8a343fbea8a46a683b1d80d90057de4 https://www.mdpi.com/2073-4433/13/3/432 https://doaj.org/toc/2073-4433
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author2	Xuehua Li Zhichao Bu Yajun Chen Jianxin He Minghua Li Maojie Xiong
author2Str	Xuehua Li Zhichao Bu Yajun Chen Jianxin He Minghua Li Maojie Xiong
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doi_str	10.3390/atmos13030432
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up_date	2024-07-03T13:30:44.050Z
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Signal Simulation of Dual-Polarization Weather Radar and Its Application in Range Ambiguity Mitigation

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