Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection

H. Hashiguchi, T. Manjo, M. Yamamoto
Wiley-Blackwell
Published 2018
Publication Date:
2018-01-06
Publisher:
Wiley-Blackwell
Print ISSN:
0048-6604
Electronic ISSN:
1944-799X
Topics:
Geosciences
Physics
Published by:
_version_ 1836398738914934784
autor H. Hashiguchi, T. Manjo, M. Yamamoto
beschreibung Atmospheric radars have the ability to continuously observe the height profiles of wind velocity vectors, across a wide height range, with high temporal resolution. They have been used for research, such as atmospheric gravity waves and meteorological phenomena, as well as for weather forecasting. For atmospheric radars, strong clutter echoes from surrounding hard targets, such as mountains or buildings, are the major source of interference. As they utilize very weak scattering from radio refractive index fluctuations produced by atmospheric turbulence, even weak echoes from low-level sidelobes become a serious problem. In order to reject or suppress clutter echoes, it is effective to use the norm constrained-directionally constrained minimization of power (NC-DCMP) method, which creates a null toward the direction of the clutter, while maintaining the main lobe shape. We successfully implemented the NC-DCMP adaptive processing in the real-time processing system of the MU (Middle and Upper atmosphere) radar. This study demonstrates the effectiveness of real-time processing of the clutter rejection. The primary advantage is enabling the estimation of wind velocity profiles in real-time and the reduction of the amount of recorded data. The improvement of the wind estimation accuracy, especially for vertical flow, was confirmed from observation data recorded over a long period.
citation_standardnr 6132520
datenlieferant ipn_articles
feed_copyright American Geophysical Union (AGU)
feed_copyright_url http://www.agu.org/
feed_id 7535
feed_publisher Wiley-Blackwell
feed_publisher_url http://www.wiley.com/wiley-blackwell
insertion_date 2018-01-06
journaleissn 1944-799X
journalissn 0048-6604
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Wiley-Blackwell
quelle Radio Science
relation http://onlinelibrary.wiley.com/resolve/doi?DOI=10.1002%2F2017RS006417
search_space articles
shingle_author_1 H. Hashiguchi, T. Manjo, M. Yamamoto
shingle_author_2 H. Hashiguchi, T. Manjo, M. Yamamoto
shingle_author_3 H. Hashiguchi, T. Manjo, M. Yamamoto
shingle_author_4 H. Hashiguchi, T. Manjo, M. Yamamoto
shingle_catch_all_1 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
Atmospheric radars have the ability to continuously observe the height profiles of wind velocity vectors, across a wide height range, with high temporal resolution. They have been used for research, such as atmospheric gravity waves and meteorological phenomena, as well as for weather forecasting. For atmospheric radars, strong clutter echoes from surrounding hard targets, such as mountains or buildings, are the major source of interference. As they utilize very weak scattering from radio refractive index fluctuations produced by atmospheric turbulence, even weak echoes from low-level sidelobes become a serious problem. In order to reject or suppress clutter echoes, it is effective to use the norm constrained-directionally constrained minimization of power (NC-DCMP) method, which creates a null toward the direction of the clutter, while maintaining the main lobe shape. We successfully implemented the NC-DCMP adaptive processing in the real-time processing system of the MU (Middle and Upper atmosphere) radar. This study demonstrates the effectiveness of real-time processing of the clutter rejection. The primary advantage is enabling the estimation of wind velocity profiles in real-time and the reduction of the amount of recorded data. The improvement of the wind estimation accuracy, especially for vertical flow, was confirmed from observation data recorded over a long period.
H. Hashiguchi, T. Manjo, M. Yamamoto
Wiley-Blackwell
0048-6604
00486604
1944-799X
1944799X
shingle_catch_all_2 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
Atmospheric radars have the ability to continuously observe the height profiles of wind velocity vectors, across a wide height range, with high temporal resolution. They have been used for research, such as atmospheric gravity waves and meteorological phenomena, as well as for weather forecasting. For atmospheric radars, strong clutter echoes from surrounding hard targets, such as mountains or buildings, are the major source of interference. As they utilize very weak scattering from radio refractive index fluctuations produced by atmospheric turbulence, even weak echoes from low-level sidelobes become a serious problem. In order to reject or suppress clutter echoes, it is effective to use the norm constrained-directionally constrained minimization of power (NC-DCMP) method, which creates a null toward the direction of the clutter, while maintaining the main lobe shape. We successfully implemented the NC-DCMP adaptive processing in the real-time processing system of the MU (Middle and Upper atmosphere) radar. This study demonstrates the effectiveness of real-time processing of the clutter rejection. The primary advantage is enabling the estimation of wind velocity profiles in real-time and the reduction of the amount of recorded data. The improvement of the wind estimation accuracy, especially for vertical flow, was confirmed from observation data recorded over a long period.
H. Hashiguchi, T. Manjo, M. Yamamoto
Wiley-Blackwell
0048-6604
00486604
1944-799X
1944799X
shingle_catch_all_3 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
Atmospheric radars have the ability to continuously observe the height profiles of wind velocity vectors, across a wide height range, with high temporal resolution. They have been used for research, such as atmospheric gravity waves and meteorological phenomena, as well as for weather forecasting. For atmospheric radars, strong clutter echoes from surrounding hard targets, such as mountains or buildings, are the major source of interference. As they utilize very weak scattering from radio refractive index fluctuations produced by atmospheric turbulence, even weak echoes from low-level sidelobes become a serious problem. In order to reject or suppress clutter echoes, it is effective to use the norm constrained-directionally constrained minimization of power (NC-DCMP) method, which creates a null toward the direction of the clutter, while maintaining the main lobe shape. We successfully implemented the NC-DCMP adaptive processing in the real-time processing system of the MU (Middle and Upper atmosphere) radar. This study demonstrates the effectiveness of real-time processing of the clutter rejection. The primary advantage is enabling the estimation of wind velocity profiles in real-time and the reduction of the amount of recorded data. The improvement of the wind estimation accuracy, especially for vertical flow, was confirmed from observation data recorded over a long period.
H. Hashiguchi, T. Manjo, M. Yamamoto
Wiley-Blackwell
0048-6604
00486604
1944-799X
1944799X
shingle_catch_all_4 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
Atmospheric radars have the ability to continuously observe the height profiles of wind velocity vectors, across a wide height range, with high temporal resolution. They have been used for research, such as atmospheric gravity waves and meteorological phenomena, as well as for weather forecasting. For atmospheric radars, strong clutter echoes from surrounding hard targets, such as mountains or buildings, are the major source of interference. As they utilize very weak scattering from radio refractive index fluctuations produced by atmospheric turbulence, even weak echoes from low-level sidelobes become a serious problem. In order to reject or suppress clutter echoes, it is effective to use the norm constrained-directionally constrained minimization of power (NC-DCMP) method, which creates a null toward the direction of the clutter, while maintaining the main lobe shape. We successfully implemented the NC-DCMP adaptive processing in the real-time processing system of the MU (Middle and Upper atmosphere) radar. This study demonstrates the effectiveness of real-time processing of the clutter rejection. The primary advantage is enabling the estimation of wind velocity profiles in real-time and the reduction of the amount of recorded data. The improvement of the wind estimation accuracy, especially for vertical flow, was confirmed from observation data recorded over a long period.
H. Hashiguchi, T. Manjo, M. Yamamoto
Wiley-Blackwell
0048-6604
00486604
1944-799X
1944799X
shingle_title_1 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
shingle_title_2 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
shingle_title_3 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
shingle_title_4 Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
timestamp 2025-06-30T23:31:51.097Z
titel Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
titel_suche Development of Middle and Upper atmosphere radar real-time processing system with adaptive clutter rejection
topic TE-TZ
U
uid ipn_articles_6132520