TY - GEN
T1 - Wide-Beam Unmanned Vehicle SAR Imaging Without Inertial Navigation System
AU - Sun, Xinshuai
AU - Li, Linghao
AU - Wang, Yan
AU - Li, Han
AU - Ding, Zegang
AU - Yan, Junjie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Autofocus
KW - Motion Compensation
KW - Synthetic Aperture Radar
KW - Unmanned Vehicle
UR - https://www.scopus.com/pages/publications/85145548328
U2 - 10.1109/CISS57580.2022.9971378
DO - 10.1109/CISS57580.2022.9971378
M3 - Conference contribution
AN - SCOPUS:85145548328
T3 - 3rd China International SAR Symposium, CISS 2022
BT - 3rd China International SAR Symposium, CISS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd China International SAR Symposium, CISS 2022
Y2 - 2 November 2022 through 4 November 2022
ER -