Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (6): 1263-1269.doi: 10.23919/JSEE.2021.000107

• RADAR DIFFERENTIAL INTERFEROMETRY TECHNIQUES AND APPLICATIONS •     Next Articles

Constrained geometry analysis to resolve 3-D deformations from three ground-based radars

Yunkai DENG1(), Jiaxin ZHU2(), Weiming TIAN2,3,*(), Cheng HU1,4(), Wenyu YANG5()   

  1. 1 1.Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
    2 Key Laboratory of Electronic and Information Technology in Satellite Navigation, Ministry of Education, Beijing Institute of Technology, Beijing 100081, China
    3 Chongqing Key Laboratory of Geological Environment Monitoring and Disaster Early-warning in Three Gorges Reservoir Area, Chongqing Three Gorges University, Chongqing 404000, China
    4 Advanced Technology Research Institute, Beijing Institute of Technology, Ji’nan 250300, China
    5 Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China
  • Received:2021-03-19 Online:2022-01-05 Published:2022-01-05
  • Contact: Weiming TIAN E-mail:yunkai_bit@foxmail.com;bitzjx0816@163.com;tianwei6779@163.com;cchchb@163.com;wenyuyang_bit@hotmail.com
  • About author:|DENG Yunkai was born in 1992. He received his Ph.D. degree in information and communication engineering from Beijing Institute of Technology in 2020. He is currently a Postdoctoral Researcher with the School of Information and Electronics, Beijing Institute of Technology. His research interests include GB-SAR, UAV-SAR, and differential interferometry measurement. E-mail: yunkai_bit@foxmail.com||ZHU Jiaxin was born in 1997. He received his bachelor degree in information and communication engineering from Beijing Institute of Technology in 2019. He is currently studying for his master degree in the School of Information and Electronics. His research interests include GB-SAR and differential interferometry measurement. E-mail: bitzjx0816@163.com||TIAN Weiming was born in 1983. He received his B.S. and Ph.D. degrees from Beijing Institute of Technology in 2005 and 2010, respectively. He is currently working in the School of Information and Electronics, Beijing Institute of Technology. His research interests include SAR system and signal processing, bistatic SAR synchronization, high-resolution radar system, real-time radar signal processing and DInSAR technology. E-mail: tianwei6779@163.com||HU Cheng was born in 1981. He received his Ph.D. degree in target detection and recognition from Beijing Institute of Technology (BIT) in July 2009. In September 2009, he joined in the School of Information and Electronics in BIT, and was promoted to be a full professor in 2014. His main research interests include new concept synthetic aperture radar imaging, the biological detection radar system and signal processing. E-mail: cchchb@163.com||YANG Wenyu was born in 1995. She received her B.S. and master degrees from Beijing Institute of Technology in 2017 and 2020, respectively. She is currently working in Beijing Institute of Technology Chongqing Innovation Center. Her research interests include GB-SAR signal processing and 3-D multiple input multiple output signal processing. E-mail: wenyuyang_bit@hotmail.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61960206009; 61971037; 31727901), the Natural Science Foundation of Chongqing, China (2020jcyj-jqX0008), and Chongqing Key Laboratory of Geological Environment Monitoring and Disaster Early-warning in Three Gorges Reservoir Area (ZD2020A0101).

Abstract:

When multiple ground-based radars (GB-rads) are utilized together to resolve three-dimensional (3-D) deformations, the resolving accuracy is related with the measurement geometry constructed by these radars. This paper focuses on constrained geometry analysis to resolve 3-D deformations from three GB-rads. The geometric dilution of precision (GDOP) is utilized to evaluate 3-D deformation accuracy of a single target, and its theoretical equation is derived by building a simplified 3-D coordinate system. Then for a 3-D scene, its optimal accuracy problem is converted into determining the minimum value of an objective function with a boundary constraint. The genetic algorithm is utilized to solve this constrained optimization problem. Numerical simulations are made to validate the correctness of the theoretical analysis results.

Key words: three-dimensional (3-D) deformation, ground-based radar (GB-rad), constrained geometry, geometric dilution of precision (GDOP), accuracy evaluation