Abstract
In-situ, wide-angle, and ultra-wideband inverse synthetic aperture radar (ISAR) imaging of vehicles and drones is demonstrated using a portable ultra-wideband radar. In order to form well-focused ISAR images, motion compensation is performed before applying the k-space imaging algorithm. While the same basic motion compensation methodology is applied to both types of targets, a more complex motion model is needed to better capture the flight path of the drone. The resulting ISAR images clearly show the geometrical outline of the targets and highlight locations of prominent backscattering. The ISAR images are also assessed against images generated through instrumented targets or laboratory measurements, and the image quality is shown to be comparable.
Highlights
Inverse synthetic aperture radar (ISAR) imaging is a standard radar mode for target identification.The typical ISAR imaging scenario consists of a stationary radar and a maneuvering target, where different aspects of target reflectivity are collected through target motion
We investigate whether ISAR imaging of moving vehicles from a stationary radar may be realized under proper conditions
We investigated the wide-angle, ultra-wideband ISAR imaging of moving vehicles and an in-flight drone
Summary
Inverse synthetic aperture radar (ISAR) imaging is a standard radar mode for target identification. The transceiver unit provides a low-cost platform with low power consumption, small form factor (contained on a single 3” by 3.15” board), and a convenient universal serial bus (USB) interface It opens many new possibilities of portable UWB radar measurements, which were prohibitive in the past. Because of their large pulse bandwidth, UWB transceivers can provide high-resolution range information. We investigate and demonstrate the use of a portable UWB radar system to achieve in-situ, high-resolution radar imaging of moving targets. Collect data using UWB transceivers from Time Domain, and implement motion compensation and image formation algorithms to form high-resolution radar images.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
