A Cross-Track Interferometric Synthetic Aperture 3D Passive Positioning Algorithm
High-precision, robust, and rapid three-dimensional (3D) passive positioning of the radiation source is critical for modern reconnaissance systems. While synthetic aperture technology has advanced 2D passive positioning performance, existing methods fail to achieve full 3D positioning with sufficient accuracy and computational efficiency. This is because of the inherent limitations of the single-station platform in resolving elevation-angle ambiguity. To address this gap, we propose a Cross-Track Interferometric Synthetic Aperture (CISA) 3D passive positioning algorithm. The algorithm innovatively realizes robust elevation-angle measurement by recursively deriving the long baseline unambiguous phase difference step-by-step from a virtual short baseline. The 3D positioning is achieved by combining passive synthetic aperture and interferometric angle measurement. Furthermore, we establish the incoherence model of synthetic aperture passive positioning for the first time and propose a compensation method based on static acquisition data to improve the practicability of CISA. Simulation and experimental results demonstrate that the proposed CISA algorithm achieves a positioning accuracy of 4.73‰R, improves computational efficiency by 1–2 orders of magnitude compared to conventional methods, and exhibits superior robustness to noise. The research can provide a reference for the method research and engineering realization of synthetic aperture 3D passive positioning.
Authors
- Yuan Zhang (ORCID: https://orcid.org/0009-0002-9693-9401)
- Xingdong Liang (ORCID: https://orcid.org/0009-0009-4319-4611)
- Zhiyu Jiang (ORCID: https://orcid.org/0000-0002-6360-8262)
- Miaomiao Li
- Y.G. Li (ORCID: https://orcid.org/0009-0006-3138-0837)
- Jihao Xin (ORCID: https://orcid.org/0009-0005-6835-2648)
- Xuyang Ge
- Xiangxi Bu (ORCID: https://orcid.org/0000-0002-4786-3386)
- Sheng Guan
Institutions
- Chinese Academy of Sciences (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-03-06
- DOI
- https://doi.org/10.3390/rs17050932
- Citations
- 1
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73