Time-varying baseline error correction method for ground-based micro-deformation monitoring radar

doi:10.23919/JSEE.2022.000091

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (4): 938-950.doi: 10.23919/JSEE.2022.000091

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Time-varying baseline error correction method for ground-based micro-deformation monitoring radar

Tianjie LEI^1,²(), Jiabao WANG^1,^2,³(), Pingping HUANG^4,^5,*(), Weixian TAN^4,⁵(), Yaolong QI^4,⁵(), Wei XU^4,⁵(), Chun ZHAO¹()

¹ China Institute of Water Resources and Hydropower Research, Beijing 100038, China
² Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100083, China
³ College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100098, China
⁴ College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
⁵ Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China

Received:2021-03-29 Online:2022-08-30 Published:2022-08-30
Contact: Pingping HUANG E-mail:leitj@iwhr.com;Jiabao_wang@126.com;hpp@imut.edu.cn;wxtan@imut.edu.cn;qiyaolong@imut.edu.cn;xuwei1983@imut.edu.cn;zhaochun@iwhr.com
About author:|LEI Tianjie was born in 1984. He received his Ph.D. degree from Beijing Normal University in 2015. He is mainly engaged in the research of reservoir dam and ecology security in the basin based-on air-space-ground big data. E-mail: leitj@iwhr.com||WANG Jiabao was born in 1990. She received her M.S. degree in architecture and civil engineering from North China University of Water Resources and Electric Power in 2017. She is currently pursuing her Ph.D. degree at China University of Mining & Technology, Beijing. Her research interests include remote sensing monitoring, flood and drought disaster monitoring and assessment. E-mail: Jiabao_wang@126.com||HUANG Pingping was born in 1978. He received his Ph.D. degree in engineering from Institute of Electronics, Chinese Academy of Sciences in 2010. He is currently the deputy dean of the School of Information Engineering, Inner Mongolia University of Technology. His research interests include radar system, radar signal processing, and microwave remote sensing. E-mail: hpp@imut.edu.cn||TAN Weixian was born in 1981. He received his Ph.D. degree from University of Chinese Academy of Sciences, Beijing, China, in 2009. From 2009 to 2014, he was an associate researcher with the Science and Technology on Micro-wave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences. Since 2015, he has been a professor with the College of Information Engineering, Inner Mongolia University of Technology. His main research interests are airborne synthetic aperture radar (SAR)/3D SAR system and signal processing. E-mail: wxtan@imut.edu.cn||QI Yaolong was born in 1984. He received his Ph.D. degree in the Institute of Electrics, Chinese Academy of Sciences, Beijing in 2012. He is a professor with the College of Information Engineering, Inner Mongolia University of Technology. His current research interests include radar signal and information processing, radar system application and ground-based radar system. E-mail: qiyaolong@imut.edu.cn||XU Wei was born in 1983. He received his M.S. degree from Nanjing Research Institute of Electronics Technology, Nanjing, China, in 2008 and Ph.D. degree in communication and information engineering from Graduate University of Chinese Academy of Sciences, Beijing, China, in 2011. In 2011, he joined the Department of Spaceborne Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences, Beijing. Since 2018, he has been currently a professor with the College of Information Engineering, Inner Mongolia University of Technology. His research interests include spaceborne/SAR technology for advanced modes, SAR raw signal simulation, and SAR signal processing. E-mail: xuwei1983@imut.edu.cn||ZHAO Chun was born in 1975. He received his Ph.D. degree from China Institute of Water Resources and Hydropower Research in 2010. He is mainly engaged in the research of dam safety monitoring data analysis and dam safety evaluation. E-mail: zhaochun@iwhr.com
Supported by:
This work was supported by the National Key R&D Program of China (2018YFC1508502), the National Natural Science Foundation of China (41601569; 61661043; 61631011), and the Science and Technology Innovation Guidance Project of Inner Mongolia Autonomous Region (2019GG139; KCBJ2017; KCBJ 2018014; 2019ZD022)

Abstract

Abstract:

In recent years, ground-based micro-deformation monitoring radar has attracted much attention due to its excellent monitoring capability. By controlling the repeated campaigns of the radar antenna on a fixed track, ground-based micro-deformation monitoring radar can accomplish repeat-pass interferometry without a space baseline and thus obtain high-precision deformation data of a large scene at one time. However, it is difficult to guarantee absolute stable installation position in every campaign. If the installation position is unstable, the stability of the radar track will be affected randomly, resulting in time-varying baseline error. In this study, a correction method for this error is developed by analyzing the error distribution law while the spatial baseline is unknown. In practice, the error data are first identified by frequency components, then the data of each one-dimensional array (in azimuth direction or range direction) are grouped based on numerical distribution period, and finally the error is corrected by the nonlinear model established with each group. This method is verified with measured data from a slope in southern China, and the results show that the method can effectively correct the time-varying baseline error caused by rail instability and effectively improve the monitoring data accuracy of ground-based micro-deformation radar in short term and long term.

Key words: ground-based micro-deformation monitoring radar, deformation monitoring, time-varying baseline, error compensation

Tianjie LEI, Jiabao WANG, Pingping HUANG, Weixian TAN, Yaolong QI, Wei XU, Chun ZHAO. Time-varying baseline error correction method for ground-based micro-deformation monitoring radar[J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 938-950.

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Parameter	Value
Bandwidth/MHz	500
Field of view/(°)	>60 (azimuth) ×30 (elevation)
Repetition time/min	8
Resolution	0.3 m × 5.4 mrad

Peak value	Type-1	Type-2	Type-3
0.0?0.3	88.3	23.2	0.0
0.3?0.6	11.7	76.8	0.0
0.6?1.0	0.0	0.0	47.2
>1.0	0.0	0.0	52.8

Time-varying baseline error correction method for ground-based micro-deformation monitoring radar

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