Single Channel Circular SAR Moving Target Detection Based on Logarithm Background Subtraction Algorithm
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.
- Publication:
-
Remote Sensing
- Pub Date:
- May 2018
- DOI:
- 10.3390/rs10050742
- Bibcode:
- 2018RemS...10..742S
- Keywords:
-
- circular synthetic aperture radar;
- single channel;
- moving target detection;
- logarithm background subtraction