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- Title
High Precision Motion Compensation THz-ISAR Imaging Algorithm Based on KT and ME-MN.
- Authors
Liu, Wei; Wang, Hongqiang; Yang, Qi; Deng, Bin; Fan, Lei; Yi, Jun
- Abstract
In recent years, terahertz (THz) radar has been widely researched for its high-resolution imaging. However, the traditional inverse synthetic aperture radar (ISAR) imaging algorithms in the microwave band perform unsatisfactorily in the THz band. Firstly, due to THz radar's large bandwidth and short wavelength, the rotation of the target will result in serious space-varying(SV) range migration and space-varying phase error. Furthermore, it is challenging to accurately estimate the rotational velocity and compensate for phase errors in the presence of severe range migration effects. Therefore, in this paper, a high-precision THz-ISAR imaging algorithm is proposed. The algorithm includes the following step: First, the SV first-order range migration(FRM) is corrected using keystone transform (KT); then, the minimum entropy based on modified newton (ME-MN) is used to estimate the rotational velocity roughly, and the remaining SV second-order range migration(SRM) is corrected to obtain the range profile with the envelope alignment. Finally, the echo after the envelope alignment is processed for the second time based on ME-MN. The target rotation velocity is accurately estimated, and the phase error is compensated to obtain a well-focused imaging result. The validity of the proposed method is verified by numerical simulation and electromagnetic calculation data.
- Subjects
IMAGE stabilization; INVERSE synthetic aperture radar; MICROWAVE imaging
- Publication
Remote Sensing, 2023, Vol 15, Issue 18, p4371
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs15184371