Paper Info
Title
Robust Clutter Suppression and Moving Target Imaging Approach for Multichannel in Azimuth High-Resolution and Wide-Swath Synthetic Aperture Radar
Abstract
This paper describes a clutter suppression approach and the corresponding moving target imaging algorithm for a multichannel in azimuth high-resolution and wide-swath (MC-HRWS) synthetic aperture radar (SAR) system. Incorporated with digital beamforming processing, MC-HRWS SAR systems are able to suppress the Doppler ambiguities to allow for HRWS SAR imaging and null the clutter directions to suppress clutter for ground moving target indication. In this paper, the degrees of freedom in azimuth for the multichannel SAR systems are employed to implement clutter suppression. First, the clutter and moving target echoes are transformed into the range compression and azimuth chirp Fourier transform frequency domain, i.e., coarse-focused images formation, when the clutter echoes are with azimuth Doppler ambiguity. Considering that moving targets are sparse in the imaging scene and that there is a difference between clutter and a moving target in the spatial domain, a series of spatial domain filters are constructed to extract moving target echoes. Then, using an extracted moving target echo, two groups of signals are formed, and slant-range velocity of a moving target can be estimated based on baseband Doppler centroid estimation algorithm and multilook cross-correlation Doppler centroid ambiguity number resolving approach. After the linear range cell migration correction and azimuth focus processing, a well-focused moving target image can be obtained. In addition, the proposed clutter suppression and imaging approach is not only adapted for uniformly displaced phase center sampling but also for the nonuniform sampling cases. Some simulation experiments are taken to demonstrate our proposed algorithms. Finally, some real measured data results are presented to validate the theoretical investigations and the proposed approaches.
Year
DOI
Venue
2015
10.1109/TGRS.2014.2327031
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
fourier transforms,digital beamforming,moving target imaging approach,synthetic aperture radar,robust clutter suppression,high resolution and wide swath (hrws),mc-hrws sar system,spatial filters,wide swath synthetic aperture radar,linear range cell migration correction,cross-correlation doppler centroid ambiguity number resolving approach,chirp fourier transform (cft),degree of freedom,synthetic aperture radar (sar),doppler radar,image resolution,doppler ambiguity,multichannel sar system,moving target echo extraction,doppler ambiguity suppression,frequency-domain analysis,ground moving target indication (gmti),imaging scene,slant-range velocity estimation,range compression,nonuniform sampling,baseband doppler centroid estimation algorithm,array signal processing,moving target estimation,image sampling,feature extraction,chirp modulation,radar detection,object detection,azimuth chirp fourier transform frequency domain,azimuth focus processing,doppler centroid estimation,interference suppression,ground penetrating radar,azimuth high resolution imaging,phase center sampling,spatial domain filters,digital beamforming processing,radar imaging,radar clutter,ground moving target indication
Continuous-wave radar,Pulse-Doppler radar,Envelope (radar),Computer vision,Moving target indication,Clutter,Remote sensing,Inverse synthetic aperture radar,Artificial intelligence,Radar horizon,Mathematics,Stationary target indication
Journal
Volume
Issue
ISSN
53
2
0196-2892
Citations 
PageRank 
References 
13
0.64
31
Authors
6
Name
Order
Citations
PageRank
Shuang-Xi Zhang1736.92
Mengdao Xing21340162.45
Xiang-gen Xia35167410.80
Rui Guo4694.30
Yan-Yang Liu5635.36
Zheng Bao61985155.03