The Research Of Airborne Synthetic Aperture Radar Moving Targets Detection Technology

Synthetic Aperture Radar is one of the important devices for surveying the ground. Since Mr. R.Keith Rany first proposed that the low moving targets cause the illegibility on the synthetic aperture radar (SAR) image and the theory of the moving targets detection in 1971, the moving targets detection has been one of major hot topics in the field of SAR technology. However, the detection on the moving targets becomes very difficult because of the clutter spectrum spreading due to the unknown targets moving and the radar's carrier moving. In this paper, we intended to find out a suitable technology based on the real SAR echo data to process that data. The main results we have gained in this topic included three aspects as following:1. We have studied the systemic theories about this research project such as SAR imaging, the factors that affected the SAR imaging for the moving targets, modeling for the moving targets signal and the detection ability under single channel SAR system. More over I have studied and compared the practical (reflectivity displacement method) RDM and the digital pre-filter methods in SAR moving targets detection.2. We processed the real data with Clutter Locking and Auto Focus algorithms and gained the experience for the further research. That gave a reference to the advance research of the moving targets detection on the condition of the heavy cluster.3. We used chirp signal plus radon noise as signal model and have simulated the echo data by compute under the ideal conditions according to the real parameters of the SAR system. Two important parameters (Doppler center and Doppler shift) are estimated by the method of combining the Winger-Ville-Distribute (WVD) and Hough in the case of using the simulating data as source data, and it could get the effective results on high Signal-Noise Ratio (SNR) in the experiments.