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Inverse Synthetic Aperture Radar Imaging for Multiple Targets Using Compressed Sensing

Rangarajan, Ranjani
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416233543

Abstract Details

2014, MS, University of Cincinnati, Engineering and Applied Science: Electrical Engineering.
Compressive Sensing is a new signal processing paradigm that reconstructs a signal that is sampled at a frequency much lower than the Nyquist Rate with very high accuracy. Compressive Sensing is a ground breaking technology that has improved data acquisition in many applications including Imaging, Radar and Communication Systems. It can be applied to any signal that is inherently sparse or can be represented sparsely in some domain. On the other hand, Inverse Synthetic Aperture Radar (ISAR) Imaging is a technique of imaging moving targets with a stationary radar. Unlike Synthetic Aperture Radar (SAR), the necessary angular diversity to image the entire target is provided by target motion. ISAR naturally lends itself to Compressive Sensing due to the sparse nature of the target scene. In fact, Compressive Sensing’s inherent properties such as robustness to noise and minimal data acquisition have been thoroughly exploited to produce good images of a target scene in ISAR. ISAR imagery in itself is complex because the moving targets typically cause a blur in the resultant image if the motion parameters are unknown. This can be countered by using motion compensation schemes which nullify the blurred effect due to target motion. This thesis proposes a simplified scheme to estimate the complex motion parameters such as Range, Velocity and Acceleration. Furthermore, this thesis proposes the use of sparse probing frequencies to apply Compressive Sensing for multiple targets, hence retrieving an ISAR image of good quality.
H. Howard Fan, Ph.D. (Committee Chair)
William Wee, Ph.D. (Committee Member)
Xuefu Zhou, Ph.D. (Committee Member)
124 p.
Electrical Engineering
Compressive Sensing; ISAR; Multiple; Targets; Motion Compensation

Recommended Citations

Citations

  • Rangarajan, R. (2014). Inverse Synthetic Aperture Radar Imaging for Multiple Targets Using Compressed Sensing [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416233543

    APA Style (7th edition)

  • Rangarajan, Ranjani. Inverse Synthetic Aperture Radar Imaging for Multiple Targets Using Compressed Sensing. 2014. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416233543.

    MLA Style (8th edition)

  • Rangarajan, Ranjani. "Inverse Synthetic Aperture Radar Imaging for Multiple Targets Using Compressed Sensing." Master's thesis, University of Cincinnati, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416233543

    Chicago Manual of Style (17th edition)

ucin1416233543
611
© 2014, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.