Abstract
In this paper, a new moving target detection algorithm for single channel circular Synthetic Aperture Radar (SAR) is presented. Circular SAR can perform observation with circular trajectory and retrieve multiaspect information. Due to the circular trajectory, the moving target has long and complex apparent trace (smear trajectory), while the background (clutter) has relatively slow changing characteristic in limited azimuth integration. Thus, the background image can be filtered by using radiometric adjusted overlap subaperture images. Then, the Signal-to-Clutter Ratio (SCR) of the region where the strong backscattering clutter exists is enhanced with logarithm background subtraction technique. In the real data experiment, the maximum SCR improvement is 13 dB. Finally, the moving target can be detected using a Constant False Alarm (CFAR) detector. The algorithm is evaluated with one channel data of three channel GOTCHA-GMTI dataset.
Highlights
Due to its high resolution imaging and all weather capabilities, synthetic aperture radar (SAR)has become an important technique in remote sensing area
Single channel methods play another important role in moving target detection application
With recent research development in Circular SAR, the single channel system can fulfill the requirement of moving target detection task
Summary
Due to its high resolution imaging and all weather capabilities, synthetic aperture radar (SAR). Single channel moving target detection methods utilize the delocalization (Doppler shift) and defocusing characteristics of the moving target signature in SAR image. The SAR sensor performs circular flight while the main beam points to the scene of interest during the observation This new imaging mode is validated with airborne experiments by several institutes [12,13,14,15]. Many researchers have realized potential of using image sequence to detect moving targets in single channel SAR such as [20,22,23]. This paper focuses on proposing a moving target detection algorithm for single channel circular SAR. After subtracting the background to enhance the signal-to-clutter-ratio, the moving targets can be detected with CFAR algorithm.
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