MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
Joint Authors
Lv, Wanghan
Liu, Feng
Mu, Shanxiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-21
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging.
Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS).
Echo model of sparse array in range and compressive sampling is reconstructed with CS theory.
Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit.
Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively.
Comprehensive numerical simulation examples are performed.
Its validity and practicality are validated by simulations.
American Psychological Association (APA)
Liu, Feng& Mu, Shanxiang& Lv, Wanghan. 2017. MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192661
Modern Language Association (MLA)
Liu, Feng…[et al.]. MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1192661
American Medical Association (AMA)
Liu, Feng& Mu, Shanxiang& Lv, Wanghan. MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192661
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192661