Performance Synthesis of UAV Trajectories in Multistatic SAR

Author

Coker, Jonathan D. ; Tewfik, Ahmed H.

Author_Institution

Univ. of Minnesota, Rochester, MN, USA

Volume

47

Issue

2

fYear

2011

fDate

4/1/2011 12:00:00 AM

Firstpage

848

Lastpage

863

Abstract

We develop guidelines for the design and analysis of unmanned aerial vehicle (UAV) trajectories for the purpose of high-quality image reconstructions based on a tomographic framework for a downlooking multistatic SAR imaging system. Modern matrix analysis provides several tools to generate performance bounds, which we relate to physical parameters of the synthetic aperture radar (SAR) measurement process. Both deterministic and random trajectories are considered. We apply a central result of random matrix theory to describe the system performance of random-location sampling.

Keywords

aircraft control; image reconstruction; matrix algebra; mobile robots; position control; radar imaging; remotely operated vehicles; synthetic aperture radar; UAV trajectory; deterministic trajectory; downlooking multistatic SAR imaging system; image reconstruction; modern matrix analysis; random location sampling; random matrix theory; random trajectory; synthetic aperture radar measurement process; tomographic framework; unmanned aerial vehicle trajectory; Eigenvalues and eigenfunctions; Image reconstruction; Noise; Noise measurement; Pixel; Reflectivity; Trajectory;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2011.5751230

Filename

5751230