摘要
Micromotion is an important target feature, although the target micromotion has an unfavorable influence on the synthetic aperture radar （SAR） image interpretation due to defocusing. This paper introduces micromotion parameters into the scattering center model to obtain a hybrid micromotion-scattering center model, and then proposes an optimization algorithm based on the maximal likelihood estimation to solve the model for jointly obtaining target motion and scattering parameters. Initial value estimation methods using targets＇ ghost images are then presented to guarantee the global and fast convergence. Simulation results show the effectiveness of the proposed algorithm especially in high precision estimation and multiple targets processing.
Micromotion is an important target feature, although the target micromotion has an unfavorable influence on the synthetic aperture radar （SAR） image interpretation due to defocusing. This paper introduces micromotion parameters into the scattering center model to obtain a hybrid micromotion-scattering center model, and then proposes an optimization algorithm based on the maximal likelihood estimation to solve the model for jointly obtaining target motion and scattering parameters. Initial value estimation methods using targets＇ ghost images are then presented to guarantee the global and fast convergence. Simulation results show the effectiveness of the proposed algorithm especially in high precision estimation and multiple targets processing.
基金
supported by the National Natural Science Foundation for Young Scientists of China (61101182)
作者简介
Corresponding author. Yuliang Qin was born in 1980. He received his M.S. and Ph.D. degrees in information and communication engineering from National University of Defense Technology （NUDT）, Changsha, in 2004 and 2008, respectively. He is currently an associated professor with the College of Electronic Science and Engineering, NUDT. His research interests are radar signal processing and radar systems. E-mail： yuliang.qin @ gmail.comBin Deng was born in 1981. He received his B.S. degree in communication engineering from Northeastern University, M.S. degree in information and communication engineering from National University of Defense Technology （NUDT）, in 2004 and 2006, respectively. He is an IEEE student member. Currently he is working towards the Ph.D. degree in microwave remote sensing and SAR/GMTI at NUDT. His main fields of research are SAR image simulation and SAR micro-motion targets indication. E-mail： dengbin@nudt.edu.cnZonghui Huang was born in 1984. He received his B.S. degree in information engineering from University of Science and Technology of China, in 2005, and M.S. degree in information and communication engineering from National University of Defense Technology, in 2007, where he is currently working toward the Ph.D. degree. His research interest is target tracking. E-mail： leilyhuang@ gmail.comWage Su was born in 1986. He received his B.S. degree in firepower command and control engineering, M.S. degree in photoelectric firepower com- mand and control engineering, from Aviation University of Air Force, in 2008 and 2010, respectively. Currently he is working towards the Ph.D. degree in microwave remote sensing at National University of Defense Technology. His research interest is
