Motion Compensation of Moving Targets for High Range Resolution Stepped-Frequency Radar

Motion Compensation of Moving Targets for High Range Resolution Stepped-Frequency Radar

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...

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Bibliographic Details
Main Authors: Xiqin Wang, Hao Zhang, Huadong Meng, Yimin Liu
Format: Article
Language:English
Published: MDPI AG 2008-05-01
Series:Sensors
Subjects:
high resolution
radar imaging
stepped-frequency
motion compensation
Online Access:http://www.mdpi.com/1424-8220/8/5/3429/
Description
Summary: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.
ISSN:1424-8220

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