Effect Analysis of Antenna Vibration on GEO SAR Image
- 28 May 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 56 (3) , 1708-1721
Abstract
Existing effect analyses of antenna vibration (AV) on SAR image, which are all aimed for low-earth-orbit SAR (LEO SAR) and based on the linear trajectory, second-order azimuth spectrum and range time-invariant as well as azimuth time-variant antenna gain, are not feasible in GEO SAR, for GEO SAR has obviously curved trajectory, high-order azimuth spectrum and two-dimensional (2-D) time-variant antenna gain. To overcome these problems and analyze the effects of AV on GEO SAR image, a modified analysis is proposed in this paper. First, based on the curved trajectory, the high-order ideal echo signal model and the ideal point spread function (PSF) of GEO SAR are respectively established and deducted, and the AV which consists of antenna translational vibration (ATV) and antenna rotation motion (ARV) and the 2-D time-variant antenna gain in squint mode are also respectively modeled. Then, based on the series expansion, the paired echo theory and the aforementioned models, the echo signal model affected by ATV, the corresponding PSF affected by ATV, the antenna gain model affected by ARV and the corresponding PSF affected by ARV are obtained, and the effects of ATV and ARV on GEO SAR image are respectively analyzed in detail. Compared with existing effect analyses of AV on SAR image, the modified analysis considers the influences of curved trajectory, high-order azimuth spectrum and 2-D time-variant antenna gain simultaneously, and it has much more accuracy and adaptability correspondingly. Finally, computer simulations validate the correctness of the proposed analysis.Keywords
Funding Information
- National Natural Science Foundation of China (11833001, 91738302, 91438203)
- National Key Research and Development Program of China Stem Cell and Translational Research (2017YFC0804700)
- National Science Fund for Distinguished Young Scholars (61625103)
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