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The smart unmanned aerial vehicle (UAV) with a mini-SAR payload provides an advanced earth observation capability for target detection and imaging. Simiar to large-scale SAR, mini-SAR also has an increasing requirement for high resolution and wide swath. However, due to the low cruising altitude of UAVs, small coverage angles in the direction range...
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The hard and challenging disaster terrain often hindered victim search processes which commonly use ground-based methods. UAVs were used to avoid this problem altogether, thus decreasing the victim search time. This research mainly focuses on the design of UAVs, specifically quadcopters, which are used for victim search. Our quadcopter UAV is desig...
Citations
... An SAR is an active imaging radar that operates independently of lighting and weather conditions. In recent years, there has been a trend towards the miniaturization of SAR systems [1][2][3][4], allowing for their installation on UAVs. Due to airflow and other influencing factors, it is challenging for UAVs to maintain an ideal flight track, introducing motion errors into the raw echo. ...
As miniaturization technology has progressed, Synthetic Aperture Radar (SAR) can now be mounted on Unmanned Aerial Vehicles (UAVs) to carry out observational tasks. Influenced by airflow, UAVs inevitably experience deviations or vibrations during flight. In the context of cost constraints, the precision of the measurement equipment onboard UAVs may be relatively low. Nonetheless, high-resolution imaging demands more accurate track information. It is therefore of great importance to estimate high-precision tracks in the presence of both motion and measurement errors. This paper presents a robust track estimation method for airborne SAR that makes use of both envelope and phase errors. Firstly, weak navigation information is employed for motion compensation, which reduces a significant portion of the motion error. Subsequently, the track is initially estimated using additional envelope errors introduced by the Extended Omega-K (EOK) algorithm. The track is then refined using a phase-based approach. Furthermore, this paper presents the calculation method of the compensated component for each target and provides an analysis of accuracy from both theoretical and simulation perspectives. The track estimation and imaging results in the simulations and real data experiments validate the effectiveness of the proposed method, with an estimation accuracy of real data experiments within 5 cm.
