Recently, the dynamic system reliability control and safety maintenance team of the School of Information Science and Engineering has made important research progress in the direction of signal processing of moving targets in synthetic aperture radar. The related work was published in IEEE Transactions on Geoscience and Remote Sensing, a top journal in the field of remote sensing, with the title of "A Novel Back-Projection-Based Target Motion Parameter Estimation Scheme for Dual-Channel SAR". Tang Xinxin, a young teacher from the School of Information Science and Engineering, is the first author and co-corresponding author.
In this study, a new high-precision moving target motion parameter estimation method based on back projection (BP) in the time domain is proposed, which solves the problem of low accuracy of moving target motion parameter estimation caused by the low imaging accuracy of traditional frequency-domain imaging algorithms. In this paper, by establishing a BP imaging model of a dual-channel SAR moving target, on the basis of a detailed analysis of the influence of the moving target's motion parameters on its imaging position and phase, and considering the characteristics that the radial velocity of the moving target is proportional to its azimuth wavenumber spectrum, and the azimuth velocity of the moving target is proportional to its azimuth offset between the sub-aperture images, a method for estimating the radial velocity of the moving target based on the azimuth wavenumber spectrum and an azimuth velocity estimation method based on improved refocusing are proposed. The experimental results show that the high-precision radial velocity and azimuth velocity estimation methods proposed in this paper are suitable for synthetic aperture radar in frontal side-looking and squint-looking modes, which provides a new solution to the problem of estimating the motion parameters of dual-channel moving targets.
Comparative analysis diagram of the geometric model of dual-channel synthetic aperture radar and the estimation performance of moving parameters of moving targets
IEEE Transactions on Geoscience and Remote Sensing is a top international journal in the field of remote sensing, a journal of the Chinese Academy of Sciences, with the latest impact factor of 7.5. The research results were completed in cooperation with Anhui University, University of Electronic Science and Technology of China, Suzhou University of Science and Technology and other units, during which Professor Huang Darong of Anhui University, Professor Zhang Xiaoling, Associate Professor Shi Jun, Professor Wei Shunjun of University of Electronic Science and Technology of China, and Dr. Wang Chen of Suzhou University of Science and Technology of Science and Technology carefully guided, exchanged and strongly supported.
