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Title: Estimating IMU heading error from SAR images.

Abstract

Angular orientation errors of the real antenna for Synthetic Aperture Radar (SAR) will manifest as undesired illumination gradients in SAR images. These gradients can be measured, and the pointing error can be calculated. This can be done for single images, but done more robustly using multi-image methods. Several methods are provided in this report. The pointing error can then be fed back to the navigation Kalman filter to correct for problematic heading (yaw) error drift. This can mitigate the need for uncomfortable and undesired IMU alignment maneuvers such as S-turns.

Authors:
Publication Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
952099
Report Number(s):
SAND2009-0183
TRN: US200913%%345
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; ALIGNMENT; ANTENNAS; RADAR; IMAGES; DEFECTS; Error functions.; Synthetic aperture radar-Performance.

Citation Formats

Doerry, Armin Walter. Estimating IMU heading error from SAR images.. United States: N. p., 2009. Web. doi:10.2172/952099.
Doerry, Armin Walter. Estimating IMU heading error from SAR images.. United States. https://doi.org/10.2172/952099
Doerry, Armin Walter. 2009. "Estimating IMU heading error from SAR images.". United States. https://doi.org/10.2172/952099. https://www.osti.gov/servlets/purl/952099.
@article{osti_952099,
title = {Estimating IMU heading error from SAR images.},
author = {Doerry, Armin Walter},
abstractNote = {Angular orientation errors of the real antenna for Synthetic Aperture Radar (SAR) will manifest as undesired illumination gradients in SAR images. These gradients can be measured, and the pointing error can be calculated. This can be done for single images, but done more robustly using multi-image methods. Several methods are provided in this report. The pointing error can then be fed back to the navigation Kalman filter to correct for problematic heading (yaw) error drift. This can mitigate the need for uncomfortable and undesired IMU alignment maneuvers such as S-turns.},
doi = {10.2172/952099},
url = {https://www.osti.gov/biblio/952099}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2009},
month = {Sun Mar 01 00:00:00 EST 2009}
}