Xinshuai Sun, Linghao Li, Yan Wang, Han Li, Zegang Ding, Junjie Yan
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Wide-Beam Unmanned Vehicle SAR Imaging Without Inertial Navigation System
Unmanned vehicles (UV) synthetic aperture radar (SAR) imaging has the characteristics of all-weather, all-time and flexibility, so it can be used as a complementary means of optical imaging in autonomous driving, which has developed rapidly and become a hot topic in recent years. However, the accuracy of inertial navigation system (INS) carried by UV is low or no INS is mounted, which makes the image to be severely defocused. In this paper, an imaging algorithm independent of inertial navigation data is proposed. The precise trajectory of the UV radar is estimated based on the echo data, and well-focused UV SAR images can be obtained by this method. The proposed algorithm has been verified by the crawler-type UV SAR experiment and well-focused two-dimensional and three-dimensional radar images are obtained.
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