A weather signal detection algorithm based on EVD in elevation for airborne weather radar

Interest is growing in the application of the spatial location information from weather scenario to the monitoring of meteorological signal for airborne weather radar system. Here, a new algorithm utilizes the differences between ground clutter and meteorological signal in terms of the spatial locat...

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Veröffentlicht in:Digital signal processing Jg. 116; S. 103118
Hauptverfasser: Wang, Yu, Wu, Di, Yu, Qinghao, Zhu, Daiyin, Meng, Fanwang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Inc 01.09.2021
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ISSN:1051-2004, 1095-4333
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Abstract Interest is growing in the application of the spatial location information from weather scenario to the monitoring of meteorological signal for airborne weather radar system. Here, a new algorithm utilizes the differences between ground clutter and meteorological signal in terms of the spatial location in elevation dimension to achieve weather signal detection (WSD). Specifically, weather signal submerged in ground clutter background is detected over a so-called diagram of the second eigenvalue to improve weather observation. Generally, this diagram is acquired by implementing eigenvalue decomposition (EVD) operation on raw data which is collected via dual-channel in elevation. For WSD, the second eigenvalue in the diagram is employed as the test statistic. And this study investigates the statistics of the second eigenvalue in the case that weather signal component, ground clutter component and Gaussian noise are all complex Gaussian distributed and they are statistically independent. Based on the statistics, a constant false-alarm rate (CFAR) detector is also designed and then the second eigenvalue of the cell under test undergoes the CFAR detector to screen out the pixels containing meteorological signal component. Simulations, as well as experimental results, are presented to demonstrate the theoretical analysis and to evaluate the detection performance of the proposed EVD-based algorithm. As compared to most of the current WSD approaches, the presented EVD-based method really shows increased detection capability and great robustness.
AbstractList Interest is growing in the application of the spatial location information from weather scenario to the monitoring of meteorological signal for airborne weather radar system. Here, a new algorithm utilizes the differences between ground clutter and meteorological signal in terms of the spatial location in elevation dimension to achieve weather signal detection (WSD). Specifically, weather signal submerged in ground clutter background is detected over a so-called diagram of the second eigenvalue to improve weather observation. Generally, this diagram is acquired by implementing eigenvalue decomposition (EVD) operation on raw data which is collected via dual-channel in elevation. For WSD, the second eigenvalue in the diagram is employed as the test statistic. And this study investigates the statistics of the second eigenvalue in the case that weather signal component, ground clutter component and Gaussian noise are all complex Gaussian distributed and they are statistically independent. Based on the statistics, a constant false-alarm rate (CFAR) detector is also designed and then the second eigenvalue of the cell under test undergoes the CFAR detector to screen out the pixels containing meteorological signal component. Simulations, as well as experimental results, are presented to demonstrate the theoretical analysis and to evaluate the detection performance of the proposed EVD-based algorithm. As compared to most of the current WSD approaches, the presented EVD-based method really shows increased detection capability and great robustness.
ArticleNumber 103118
Author Meng, Fanwang
Yu, Qinghao
Wang, Yu
Wu, Di
Zhu, Daiyin
Author_xml – sequence: 1
  givenname: Yu
  surname: Wang
  fullname: Wang, Yu
  email: wyu@nuaa.edu.cn
  organization: Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
– sequence: 2
  givenname: Di
  surname: Wu
  fullname: Wu, Di
  organization: Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
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  givenname: Qinghao
  surname: Yu
  fullname: Yu, Qinghao
  organization: Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
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  givenname: Daiyin
  surname: Zhu
  fullname: Zhu, Daiyin
  email: zhudy@nuaa.edu.cn
  organization: Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
– sequence: 5
  givenname: Fanwang
  surname: Meng
  fullname: Meng, Fanwang
  email: meng_lunar@163.com
  organization: Avic Leihua Electronic Technology Research Institute, Wuxi 214063, China
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Keywords Dual-channel
Airborne weather radar
Weather signal detection
The second eigenvalue
Language English
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SubjectTerms Airborne weather radar
Dual-channel
The second eigenvalue
Weather signal detection
Title A weather signal detection algorithm based on EVD in elevation for airborne weather radar
URI https://dx.doi.org/10.1016/j.dsp.2021.103118
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