MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging

This dissertation analyzes the capability of multiple-input, multiple-output (MIMO) radar techniques to improve the image quality and area-coverage rate of synthetic aperture imaging systems. A signal processing architecture for MIMO radar is used to understand the applicability of MIMO for synthetic aperture radar (SAR) and synthetic aperture sonar (SAS) systems. MIMO SAR/SAS is shown to be a natural extension of standard multichannel synthetic aperture imaging techniques to exploit transmit degrees of freedom in addition to those used on receive. Degradation in range sidelobe performance and the associated impact on image quality is identified as a key impediment to MIMO SAR/SAS. A novel mismatched filtering approach is presented to mitigate this issue. New results in sampling theory are derived that allow the aliasing that occurs when a wide-sense stationary random process is non-uniformly sampled to be quantified. These results are applied to the case of recurrent sampling and used to quantify the impact of azimuth ambiguities on MIMO SAR/SAS image contrast.

Level thesis:degree_level

Doctoral

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2015

Author dc:creator

• Davis, Michael Scott

Advisor dc:contributor.advisor

• Lanterman, Aaron D.

Committee members dc:contributor.committeemember

• Weitnauer, Mary Ann
• Xie, Yao
• Romberg, Justin K.
• Peterson, Andrew F.

• Radar signal processing
• Synthetic aperture radar
• Synthetic aperture sonar

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1853/53566

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/53566