Focusing distorted ISAR images using fast adaptive joint time-frequency and 3-dimensional motion detection on experimental radar data


  1. Thayaparan, T.
  2. Brinkman, W.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
This report presents two algorithms for enhancing the capabilities of the adaptive joint time-frequency (AJTF) approach and the 3-dimensional motion detection method, respectively, on inverse synthetic aperture radar (ISAR) imaging. The first method is a modified AJTF motion compensation algorithm that is able to employ more than two prominent point scatterers for translation and rotation motion compensation, respectively. The second algorithm enhances a current 3-dimensional motion detection method. This algorithm improves the computation time for identifying 3-dimensional motion in ISAR images and selects the imaging time intervals with the least 3-dimensional motion. With these enhanced detection algorithms, we have the ability to distinguish the time intervals when the target undergoes smooth 2-dimensional motion from those containing more chaotic 3-dimensional motion. As a result, we can reliably detect those time intervals where 2-dimensional target motions are predominant to form well-focused ISAR images that are used in automatic target recognition applications.

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Report Number
DRDC-OTTAWA-TM-2009-281 — Technical Memorandum
Date of publication
01 Feb 2010
Number of Pages
Electronic Document(PDF)

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