High frequency data acquisition design algorithm based on hierarchical optimization of GNSS-InBSAR

Jiahao Gao, Feifeng Liu*, Ruihong Lv

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

In the Global Navigation Satellites System-based bistatic Interferometry Synthetic Aperture Radar(GNSS-InBSAR) system, the resolution of the imaging results is affected by the bistatic configuration, while the bistatic configuration is affected by the time, satellite illuminate source, and the location of the detection area, which leads to high-precision uniform deformation observations of the detection area are very poor for the majority of the one repeat-pass period. In order to uniformly observe the surface deformation of the detection area, this paper proposed a high-frequency data acquisition design algorithm based on hierarchical optimization of GNSS-InBSAR. First, based on the high-frequency data acquisition optimization model, the experimental time is calculated. Second, uniform grouping of experimental times by using the acquisition time interval as constraint. Third, a group of the time uniformity maximization is calculated by Position Dilution of Precision(PDOP) as constraints and replacement of periods that do not meet the PDOP threshold using the nearest replacement principle, so high-frequency acquisition time that meets the requirements can be obtained. The high-frequency deformation retrieval monitoring of the region is realized, Finally the measured data verifies the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)2931-2935
Number of pages5
JournalIET Conference Proceedings
Volume2023
Issue number47
DOIs
Publication statusPublished - 2023
EventIET International Radar Conference 2023, IRC 2023 - Chongqing, China
Duration: 3 Dec 20235 Dec 2023

Keywords

  • GNSS-InBSAR
  • hierarchical optimization
  • high frequency data acquisition
  • time uniformity maximization

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