TY - GEN
T1 - A Fast Configuration Optimization Algorithm for GNSS-based InBSAR System
AU - Lv, Ruihong
AU - Liu, Feifeng
AU - Wang, Zhanze
AU - Wu, Xiaojing
AU - Gao, Jiahao
N1 - Publisher Copyright:
© Aerospace Information Research Institute 2024.
PY - 2024
Y1 - 2024
N2 - The Global Navigation Satellite System-based Synthetic Aperture Radar Interferometry (GNSS-based InBSAR) uses in-orbit satellites as transmitters, and the receiver is stationary on the ground, which uses repeat-pass interference to realize deformation inversion. Compared with the traditional InSAR system, GNSS-based InBSAR has obvious advantages such as short revisit time, wide coverage and low system cost. This paper proposes a fast configuration optimization algorithm for GNSS-based InBSAR to solve the problem that the traditional configuration optimization algorithm consumes a lot of computing resources and does not have the ability to deploy quickly in disaster areas. This method simulates the trajectory of actual satellites in a repeat-pass period by polynomial fitting, and quickly optimizes the resolution and three-dimensional deformation accuracy at each time in a repeat-pass period, to obtain the best experimental configuration. This method can greatly reduce storage resources and simulation calculation time, and achieve rapid configuration optimization selection. The effectiveness of the algorithm is verified by the experimental data.
AB - The Global Navigation Satellite System-based Synthetic Aperture Radar Interferometry (GNSS-based InBSAR) uses in-orbit satellites as transmitters, and the receiver is stationary on the ground, which uses repeat-pass interference to realize deformation inversion. Compared with the traditional InSAR system, GNSS-based InBSAR has obvious advantages such as short revisit time, wide coverage and low system cost. This paper proposes a fast configuration optimization algorithm for GNSS-based InBSAR to solve the problem that the traditional configuration optimization algorithm consumes a lot of computing resources and does not have the ability to deploy quickly in disaster areas. This method simulates the trajectory of actual satellites in a repeat-pass period by polynomial fitting, and quickly optimizes the resolution and three-dimensional deformation accuracy at each time in a repeat-pass period, to obtain the best experimental configuration. This method can greatly reduce storage resources and simulation calculation time, and achieve rapid configuration optimization selection. The effectiveness of the algorithm is verified by the experimental data.
KW - 3D deformation retrieval
KW - Configuration optimization
KW - GNSS-based InSAR
KW - PDOP
KW - Resolution optimization
UR - http://www.scopus.com/inward/record.url?scp=85193634190&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-6932-6_30
DO - 10.1007/978-981-99-6932-6_30
M3 - Conference contribution
AN - SCOPUS:85193634190
SN - 9789819969319
T3 - Lecture Notes in Electrical Engineering
SP - 367
EP - 378
BT - China Satellite Navigation Conference (CSNC 2024) Proceedings - Volume II
A2 - Yang, Changfeng
A2 - Xie, Jun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th China Satellite Navigation Conference, CSNC 2024
Y2 - 22 May 2024 through 24 May 2024
ER -