1. An InISAR Imaging Method Based on Translational Reconstruction
- Author
-
Erke Mao, Lixiang Ren, Jingdong Wang, Huayu Fan, and Jian Yang
- Subjects
Inverse synthetic aperture radar ,Interferometry ,Velocity estimation ,Robustness (computer science) ,business.industry ,Computer science ,Image registration ,Computer vision ,Artificial intelligence ,business ,Phase adjustment ,Doppler centroid ,Communication channel - Abstract
The phase-derived velocity measurement (PDVM) method based on range profiles cross-correlation (RPCC) can achieve high precision velocity estimation of Doppler centroid for complex targets, and the PDVM satisfied the precision requirements of envelope alignment and phase adjustment for ISAR imaging, that is, the PDVM method can be employed to attain target translational reconstruction. On this basis, this paper proposes an interferometric inverse synthetic aperture radar (InISAR) imaging method based on translational reconstruction. This method can obtain high-quality ISAR images by compensating the translational velocity at the target's Doppler centroid of different channel echoes. Moreover, the translational reconstruction also indirectly achieved image registration. Compared with the traditional approaches, the proposed method is not only suitable for low signal-to-noise ratio (SNR), but also simple to implement. Furthermore, it can better ensure the coherence between different channels of ISAR images, that is, the InISAR imaging results with higher precision can be obtained. The correctness and robustness of the proposed method are verified by the measured data of civil aircraft.
- Published
- 2019