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Proceedings Paper

Vision Guidance Update: Synthetic Aperture Radar (SAR) Multiple Image Exploitation For Position And Velocity Determination
Author(s): Arthur C. Kenton; James A. Wright; James C. Nelander
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Paper Abstract

Vision Guidance Update (VGU) is a Synthetic Aperture Radar (SAR) multi-image exploitation technique which uses radar vision derived from range-angle imagery of stationary ground features to provide precision platform position and velocity estimates. The concept addresses applications to both navigational update and guidance functions for systems using SAR as an autonomous, long-range, standoff, all-weather, day/night sensing capability. The changes in perspectives of ground features detected in successive SAR spotlight images are analyzed and the coupled geometry problem solved to determine precision platform velocity and position estimates relative to any imaged point on the ground. A SAR VGU theory and algorithm were developed that utilizes two features in two images for deriving the platform kinematic estimates. Realistic SAR finite resolution effects lead to estimation errors. Errors in the knowledge of platform position and velocity, generated from navigation system errors, produce imaging geometry and image formation errors. Tolerance to reasonable platform kinematic errors is provided by iterating the SAR VGU algorithm to improve and provide precision estimates of all geometry, system, and kinematic parameters. The VGU theory and algorithm are presented with the initial modeling assumptions. Initial simulation results are qualitatively summarized.

Paper Details

Date Published: 14 August 1989
PDF: 12 pages
Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); doi: 10.1117/12.960522
Show Author Affiliations
Arthur C. Kenton, ERIM Florida Regional Office (United States)
James A. Wright, ERIM Florida Regional Office (United States)
James C. Nelander, ERIM Florida Regional Office (United States)

Published in SPIE Proceedings Vol. 1101:
Millimeter Wave and Synthetic Aperture Radar
G. Keith Huddleston; Martin E. Tanenhaus; Brian P. Williams, Editor(s)

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