Modified Motion Parameter Estimation for Space Object Imaging

摘要：

Aiming at the engineering background of inverse synthetic aperture radar (ISAR) imaging for hypervelocity space object, the problem of motion parameter estimation is put forward for radial velocity compensation. Based on sparse component analysis, an algorithm named BP (Base Pursuit)1 is proposed to resolve the problem in noise-free environment. For the noise suppression, a modified algorithm based on parameter regularization is introduced in this paper. Simulation results show that this method behaves well in signal de-noising and could get accurate estimation for motion parameter from signals corrupted by noise.

关键词： ISAR motion parameter estimation sparse component analysis

作者: Zhen Fu Zhiping Yin Dongehen Zhang Weidong Chen

作者单位: EELS,University of Science and Technology of China,HeiFei,AnHui,230027,P.R.China

会议类型: 国际会议

会议名称: 2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

会议地点: 南京

会议语种:英文

页码: 2043-2046

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）