Title
An Adaptively Weighted Least Square Estimation Method of Channel Mismatches in Phase for Multichannel SAR Systems in Azimuth
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.
Year
DOI
Venue
2014
10.1109/LGRS.2013.2264771
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
geophysical techniques,quasiuniform sampling,channel calibration,synthetic aperture radar,calibration,high resolution and wide swath (hrws),signal sampling,multichannel synthetic aperture radar system,radar cross-sections,digital beam forming (dbf),synthetic aperture radar (sar),doppler radar,image resolution,channel mismatch,calibration algorithm,multichannel sar system,adaptively weighted least square (wls) (ls) (awls) estimation,processed doppler bandwidth,least squares approximations,pdb,sar image quality degradation,echo signal-to-noise ratio,radar resolution,energy minimization,wide-swath imaging,adaptively weighted least square estimation method,radar imaging,echo snr,high-resolution imaging,doppler effect,signal to noise ratio,azimuth,estimation
Continuous-wave radar,Pulse-Doppler radar,Radar imaging,Side looking airborne radar,Synthetic aperture radar,Remote sensing,Signal-to-noise ratio,Azimuth,Inverse synthetic aperture radar,Mathematics
Journal
Volume
Issue
ISSN
11
2
1545-598X
Citations 
PageRank 
References 
4
0.42
7
Authors
4
Name
Order
Citations
PageRank
Yan-Yang Liu1635.36
Zhenfang Li210311.78
Taoli Yang3244.81
Zheng Bao41985155.03