Signal Processing Based Remote Sensing Data Simulation in Radar System
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Range cell migration has a serious impact on the precision of image formation, especially for high-resolution and large-scale imaging.
To get the full resolution and high quality of the image, the range cell migration correction in the azimuth time domain must be considered.
For tackling this problem, this paper presents a novel and efficient range cell migration correction method based on curve fitting and signal processing.
By emulating a curve to approximate the range-compressed echo of a strong point, the range location indexes of the strong point along the azimuth direction can be obtained under the least squares criterion.
The merits of the proposed method are twofold: (1) the proposed method is robust to the uncertainty of system parameters (strong tolerance) under real flights and (2) the generalization of the proposed method is better and can be easily adapted to different synthetic aperture radar (SAR) modes (e.g., monostatic and bistatic).
The experimental results on real remote sensing data from both the monostatic and the bistatic SAR demonstrate the effectiveness.
The regressed distance curve is completely coincident with the trajectory of strong points of the echo.
Finally, the imaging focus results also validate the efficiency of the proposed method.
American Psychological Association (APA)
Hao, Renxuan& Guo, Tan. 2017. Signal Processing Based Remote Sensing Data Simulation in Radar System. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1175348
Modern Language Association (MLA)
Hao, Renxuan& Guo, Tan. Signal Processing Based Remote Sensing Data Simulation in Radar System. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1175348
American Medical Association (AMA)
Hao, Renxuan& Guo, Tan. Signal Processing Based Remote Sensing Data Simulation in Radar System. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1175348
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175348