作者
Xinge LIU, Mengdao XING, Guangcai SUN
发表日期
2018/9/1
期刊
电子与信息学报
卷号
40
期号
9
页码范围
2250-2257
出版商
电子与信息学报
简介
Traditional Inverse SAR (ISAR) imaging algorithms neglect the impact of high-order rotational phase in the signal, which may make ISAR images of a target defocused. Further, the size of a target can not be obtained from ISAR image directly. In this study, an effective method to achieve the rotation compensation and cross-range scaling for ISAR imaging is proposed. Firstly, all the signals of the target are used to form the Local Average Doppler Trend (LADT) signal. Subsequently, RANdom SAmple Consensus (RANSAC) algorithm is performed to estimate the Doppler rate and effective rotational velocity. Finally, high-precision rotation compensation and cross-range scaling can be accomplished. Simulation and real data experiments validate the effectiveness of the proposed method.
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