title: Motion Compensation of Moving Targets for High Range Resolution Stepped-Frequency Radar.
abstract: High range resolution (HRR) profiling using stepped-frequency pulse trains suffers from range shift and the attenuation/dispersion of range profiles while the target of interest is moving. To overcome these two drawbacks, a new algorithm based on the maximum likelihood (ML) estimation is proposed in this paper. Without altering the conventional stepped-frequency waveform, this algorithm can estimate the target velocity and thereby compensate the phase errors caused by the target's motion. It is shown that the velocity can be accurately estimated and the range profile can be correctly reconstructed.
authors.affiliation: Department of Electronic Engineering, Tsinghua University, Beijing 100084, PR China. liuyimin00@mails.tsinghua.edu.cn.
authors.forename: Yimin
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Department of Electronic Engineering, Tsinghua University, Beijing 100084, PR China.
authors.forename: Huadong
authors.initials: H
authors.lastname: Meng
authors.affiliation: Department of Electronic Engineering, Tsinghua University, Beijing 100084, PR China.
authors.forename: Hao
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Electronic Engineering, Tsinghua University, Beijing 100084, PR China.
authors.forename: Xiqin
authors.initials: X
authors.lastname: Wang
keywords: high resolution; motion compensation; radar imaging; stepped-frequency