Presentation Title

A Hybrid Synthetic Aperture and Time-Reversal MUSIC Algorithm for Subwavelength Radar Imaging: Theory

Faculty Mentor

Enson Chang

Start Date

23-11-2019 10:45 AM

End Date

23-11-2019 11:30 AM

Location

228

Session

poster 4

Type of Presentation

Poster

Subject Area

physical_mathematical_sciences

Abstract

Circular Synthetic Aperture Radar (CSAR) is a form of radar that creates an artificial circular aperture by circling the targets with a transceiver. This allows for high-resolution imaging in 2D. Such a millimeter-wave radar is useful for scanning small and affordable tags for radio frequency identification (RFID). Unfortunately CSAR has strong image artifacts when RFID tag features are close to each other. An alternative approach is time-reversal multiple signal classification (TR-MUSIC), which produces clean images but is costly because it requires many sensors. Our paper focuses on a new technique that combines circular Synthetic Aperture radar with TR-MUSIC (SATR-MUSIC). We will explain the theory behind SATR-MUSIC and show how it produces much better images than CSAR. We will also show SATR-MUSIC is resistant to fair amounts of noise. Finally, we will discuss the resolution limits of SATR-MUSIC and the number of target it can scan. This paper is a companion to a related paper which characterizes the performance envelope of SATR-MUSIC.

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Nov 23rd, 10:45 AM Nov 23rd, 11:30 AM

A Hybrid Synthetic Aperture and Time-Reversal MUSIC Algorithm for Subwavelength Radar Imaging: Theory

228

Circular Synthetic Aperture Radar (CSAR) is a form of radar that creates an artificial circular aperture by circling the targets with a transceiver. This allows for high-resolution imaging in 2D. Such a millimeter-wave radar is useful for scanning small and affordable tags for radio frequency identification (RFID). Unfortunately CSAR has strong image artifacts when RFID tag features are close to each other. An alternative approach is time-reversal multiple signal classification (TR-MUSIC), which produces clean images but is costly because it requires many sensors. Our paper focuses on a new technique that combines circular Synthetic Aperture radar with TR-MUSIC (SATR-MUSIC). We will explain the theory behind SATR-MUSIC and show how it produces much better images than CSAR. We will also show SATR-MUSIC is resistant to fair amounts of noise. Finally, we will discuss the resolution limits of SATR-MUSIC and the number of target it can scan. This paper is a companion to a related paper which characterizes the performance envelope of SATR-MUSIC.