Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Garry_Dissertation_FullDraft_Final.pdf (20.61 MB)

ETD Abstract Container

Abstract Header

Imaging Methods for Passive Radar

Garry, Joseph Landon
http://orcid.org/0000-0002-1859-5175
http://rave.ohiolink.edu/etdc/view?acc_num=osu1500464101265192

Abstract Details

2017, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
Passive radar systems typically piggyback on illuminators of opportunity, whose bandwidths are typically smaller and whose frequencies are significantly lower than that of typical active radar imaging platforms, such as synthetic aperture radar (SAR) and inverse SAR (ISAR). This work investigates the potential of such systems to produce useful radar imagery given these spectral constraints, along with other challenges associated with passive radar. A narrowband Doppler imaging technique is demonstrated, which generates range resolution in the absence of bandwidth, purely using stripmap aperture synthesis. A monostatic sensor configuration is used to demonstrate the feasibility of the concept, both in simulation and with experimental measurements at X-band; the limits on range and cross-range resolution are also derived. These ideas are then applied to the passive imaging scenario using a set of FM radio and digital television transmitters. The design of a multistatic digital television passive radar is presented, along with architecture design considerations faced by wideband passive radar receivers. A new passive radar downconversion architecture is examined as a means for gathering wideband data without sacrificing back-end ADC bandwidth. As passive radar processing is computationally complex, advancements to range-Doppler map calculation and filtering methods for direct signal interference suppression are discussed. Several unique micro-Doppler measurements and distributed multipath phenomenology are also investigated. Finally, a framework for passive ISAR (P-ISAR) imaging of non-cooperative air targets is developed to aid in target classification, building on the previous chapters' algorithmic advances. This single-illuminator framework is developed to lay the groundwork which enables multistatic imaging for future passive radar systems. The unique challenges of motion-compensation and image formation under the narrowband passive radar constraints are investigated; traditional autofocus algorithms and focal metrics are shown to be inappropriate for narrowband P-ISAR systems, and target tracking is used to aid in rotational motion estimation which enables more sophisticated image formation procedures. Simulated results validate the P-ISAR framework, and experimental results demonstrate the ability to differentiate between large and small aircraft using a single 6 MHz digital television illuminator.
Graeme Smith (Advisor)
Jean-Francois Lafont (Committee Member)
Lee Potter (Committee Member)
Yuan Zheng (Committee Member)
287 p.
Electrical Engineering
radar; passive radar; signal processing; narrowband imaging; doppler imaging; direct signal suppression; sar; isar; passive imaging; micro Doppler;

Recommended Citations

Citations

  • Garry, J. L. (2017). Imaging Methods for Passive Radar [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500464101265192

    APA Style (7th edition)

  • Garry, Joseph. Imaging Methods for Passive Radar. 2017. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1500464101265192.

    MLA Style (8th edition)

  • Garry, Joseph. "Imaging Methods for Passive Radar." Doctoral dissertation, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500464101265192

    Chicago Manual of Style (17th edition)

osu1500464101265192
544
© 2017, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.