Published April 2012 | Version v1
Journal article

Synthetic aperture radar imaging with motion estimation and autofocus

  • 1. Computational and Applied Mathematics, Rice University, MS 134, 6100 Main St, Houston, TX 77005-1892 (United States)
  • 2. Department of Mathematics, Stanford University, Stanford, CA 94305 (United States)

Description

We introduce from first principles a synthetic aperture radar (SAR) imaging and target motion estimation method that is combined with compensation for radar platform trajectory perturbations. The main steps of the method are (a) segmentation of the data into properly calibrated small apertures, (b) motion or platform trajectory perturbation estimation using the Wigner transform and the ambiguity function of the data in a complementary way and (c) combination of small aperture estimates and construction of high-resolution images over wide apertures. The analysis provides quantitative criteria for implementing the aperture segmentation and the parameter estimation process. X-band persistent surveillance SAR is a specific application that is covered by our analysis. Detailed numerical simulations illustrate the robust applicability of the theory and validate the theoretical resolution analysis. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0266-5611/28/4/045006

Additional details

Publishing Information

Journal Title
Inverse Problems
Journal Volume
28
Journal Issue
4
Journal Page Range
[31 p.]
ISSN
0266-5611
CODEN
INVPET

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45035653
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
APERTURES; COMPUTERIZED SIMULATION; DISTURBANCES; IMAGES; MEDICAL SURVEILLANCE; MONITORING; NUMERICAL ANALYSIS; RADAR; RESOLUTION; TRAJECTORIES; TRANSFORMATIONS; WIGNER DISTRIBUTION
Descriptors DEC
MATHEMATICS; MEASURING INSTRUMENTS; OPENINGS; RANGE FINDERS; SIMULATION