NDLI: Signal Processing for Large Bandwidth and Long Duration Waveform SAR

Content Provider	Springer Nature Link
Author	Lin, Zhiping Zeng, Yonghong Bi, Guoan Yeo, Jocelyn
Copyright Year	2003
Abstract	We first show that for some kinds of signals a “bandwidth and time duration reduction technique” can be used to simulate waveform distortions caused by moving targets, that is, it is correct to measure the waveform distortions at very large TB with relatively small υ by reducing TB and increasing υ while keeping TBυ unchanged, where T is the duration of the transmitted signal, B is the bandwidth and υ is the relative speed of targets. We then study the waveform distortions in SAR signals caused by moving antenna. Based on the bandwidth and time duration reduction technique, a lot of time and memory are saved in simulations. We then confirm by simulations that waveform distortions do pose problems when processing very large bandwidth and long duration SAR data using conventional SAR processing methods. Finally we propose the concepts of wideband and narrowband processing of SAR data. Models are set up for wideband and narrowband SAR data processing, and new methods are presented for reconstructing targets using the proposed models. Simulations show that the methods can improve the quality of the simulated SAR images.
Starting Page	119
Ending Page	137
Page Count	19
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	14
Issue Number	1-3
e-ISSN	15730824
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2003-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Artificial Intelligence (incl. Robotics) Electronic and Computer Engineering Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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