Ground-based ISAR imaging of cooperative and non-cooperative sea vessels with 3-D rotational motion

Inverse Synthetic Aperture Radar (ISAR) images of sea vessels are a rich source of information for radar cross section (RCS) measurement and ship classification. However, ISAR imaging of sea vessels is a challenging task because the 3-D rotational motion of such vessels often gives rise to blurring. Blurry ISAR images are not desirable because they lead to inaccurate parameter estimation, which reduces the probability of correct classification. The objective of this thesis is to explain how 3-D rotational motion causes blurring in ISAR imagery and to develop effective techniques for imaging cooperative and non-cooperative sea vessels for RCS measurement and ship-classification purposes respectively. Much research has been done to investigate the effect of 3-D rotational motion on an ISAR image under the assumption that an object's axis of rotation is constant over the coherent processing interval (CPI). In this thesis, a new quaternion-based system model is proposed to characterise the amount of blurring in an ISAR image when a sea vessel possesses 3-D rotational motion over a CPI. Simulations were done to characterise the migration of a scatterer through Doppler cells due to the time-varying nature of the Doppler generating axis of rotation. Simulation results with realistic 3-D rotational motion show substantial blurring in the cross-range dimension of the resulting ISAR image, and this blurring is attributed to the time-varying nature of the angle of the Doppler generating axis of rotation and the object's rotation rate over the CPI.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2009

Author dc:creator

• Gaffar, Mohammed Yunus Abdul

Advisors dc:contributor.advisor

• Inggs, Michael
• Nel, W A J

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/7696

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/7696