Please use this identifier to cite or link to this item: https://doi.org/10.1109/LGRS.2009.2039113
Title: Motion parameter estimation in the SAR system with low PRF sampling
Authors: Wu, Q.
Xing, M.
Qiu, C. 
Liu, B.
Bao, Z.
Yeo, T.-S. 
Keywords: Compressed sensing (CS)
motion parameter estimation
Radon transform (RT)
synthetic aperture radar (SAR)
Issue Date: Jul-2010
Source: Wu, Q., Xing, M., Qiu, C., Liu, B., Bao, Z., Yeo, T.-S. (2010-07). Motion parameter estimation in the SAR system with low PRF sampling. IEEE Geoscience and Remote Sensing Letters 7 (3) : 450-454. ScholarBank@NUS Repository. https://doi.org/10.1109/LGRS.2009.2039113
Abstract: A novel approach to motion parameter estimation with low pulse repetition frequency (PRF) sampling based on compressed sensing (CS) theory is introduced. As is known to us, when PRF is less than the Doppler spectrum bandwidth, moving targets suffer both Doppler centroid frequency ambiguity and Doppler spectrum ambiguity. Under this condition, the traditional parameter estimation method in the Doppler domain is out of action. The key of this letter converts motion parameter estimation in the synthetic aperture radar system with low PRF sampling into solving an optimization equation based on CS theory. Because moving targets in the scene can be regarded as sparse signals after clutter cancellation, an optimization algorithm based on CS theory is proposed to reconstruct sparse signals and meanwhile estimate the along-track velocities and azimuth positions of moving targets. Considering the fact that range cell migration of moving targets is not subject to PRF limitations, Radon transform is adopted to obtain unambiguous across-track velocities and range positions. Results on simulation and real data are provided to show the effectiveness of this method. © 2010 IEEE.
Source Title: IEEE Geoscience and Remote Sensing Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/56697
ISSN: 1545598X
DOI: 10.1109/LGRS.2009.2039113
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

23
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

21
checked on Nov 22, 2017

Page view(s)

27
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.