This study investigates motion simulation and compensation techniques for airborne Synthetic Aperture Radar (SAR) to enhance imaging accuracy and quality. SAR utilizes platform motion to create a synthesized long aperture, improving azimuth resolution independently of frequency and distance. However, unexpected platform motion, such as from wind or turbulence, can introduce non-linear trajectory changes, causing Doppler frequency shifts that blur images. To address this, we simulate airborne motion trajectories under various conditions, including wind speed, direction, and sensor influence, and apply motion compensation algorithms like the Map Drift Algorithm (MDA)[1], Beam Center Motion Compensation (BC MoCo) [2], and Subaperture Topography and Aperture Dependent (SATA)[2]. This research simulates complex airborne environments, generating realistic low- and high-frequency disturbances to test compensation effectiveness across time and frequency domains.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.