Title
TOPS Mode Raw Data Generation From Wide-Beam SAR Imaging Modes
Abstract
A synthetic aperture radar (SAR) raw data simulator of distributed target scenes is an important tool for testing the system parameters, imaging algorithms, and so on, particularly for these recently proposed novel imaging modes. The Terrain Observation by Progressive Scans (TOPS) mode achieves the wide-swath imaging coverage and overcomes major drawbacks in ScanSAR by electronically steering the azimuth beam along track during the whole acquisition time. In this letter, a novel TOPS mode raw data generation approach from conventional wide-beam SAR imaging modes is proposed, by invoking the fact that the TOPS raw data can be considered as a part of the stripmap/spotlight raw data with the exploited wide azimuth beam interval. In this approach, an azimuth-varying filter is introduced to obtain the desired TOPS raw data and set others to zero. Moreover, the conventional stripmap and spotlight mode raw data can be efficiently generated in the 2-D Fourier transformed domain. Therefore, a fast raw data simulator can be easily achieved by taking this approach. Simulation results validate the proposed simulation approach.
Year
DOI
Venue
2012
10.1109/LGRS.2011.2179518
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
raw data generation (rdg),fourier transforms,geophysical techniques,wide-swath imaging coverage,synthetic aperture radar,stripmap mode raw data,target scene distribution,fast raw data simulator,synthetic aperture radar (sar),imaging algorithms,spotlight mode raw data,terrain observation by progressive scans (tops),data acquisition,remote sensing by radar,scansar system,azimuth-varying filter,electronic azimuth beam steering,geophysical image processing,wide-beam sar imaging modes,tops mode raw data,tops mode raw data generation,wide-beam imaging mode,2-d fourier transformed domain,terrain observation by progressive scans mode,fourier transform,doppler effect,distributed database,bandwidth,distributed databases,imaging,azimuth,remote sensing
Computer vision,Synthetic aperture radar,Data acquisition,Remote sensing,Terrain,Azimuth,Raw data,Fourier transform,Bandwidth (signal processing),Artificial intelligence,Mathematics,TOPS
Journal
Volume
Issue
ISSN
9
4
1545-598X
Citations 
PageRank 
References 
4
0.43
11
Authors
5
Name
Order
Citations
PageRank
Wei Xu1355.14
Yunkai Deng229254.84
Fan Feng351.06
Yue Liu4476.12
Guangting Li5111.28