NDLI: An Adaptively Weighted Least Square Estimation Method of Channel Mismatches in Phase for Multichannel SAR Systems in Azimuth

Content Provider	IEEE Xplore Digital Library
Author	Yan-yang Liu Zhen-fang Li Tao-li Yang Zheng Bao
Copyright Year	2004
Abstract	Multichannel synthetic aperture radar (SAR) systems in azimuth can achieve high-resolution and wide-swath imaging. However, the quality of final SAR image can be degraded by the channel mismatch in phase which increases the energy outside the processed Doppler bandwidth (PDB). To address this problem, a calibration algorithm is proposed in this letter by minimizing the energy outside the PDB. Theoretical analysis shows that the presented method can be interpreted as an adaptively weighted least square estimation problem, where the weights are related to the signal-to-noise ratio (SNR) of the echoes from different directions. Simulation results reveal that our method outperforms the conventional methods in the case of quasi-uniform sampling, particularly at the low-SNR region.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	439
Ending Page	443
Page Count	5
File Size	441582
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Doppler effect Signal to noise ratio Synthetic aperture radar Azimuth Channel estimation Estimation Calibration synthetic aperture radar (SAR) Adaptively weighted least square (WLS) (LS) (AWLS) estimation channel calibration digital beam forming (DBF) high resolution and wide swath (HRWS)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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