Applications of Adaptive Joint Time-Frequency Algorithm for Focusing Distorted ISAR Images from Simulated and Measured Radar Data

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Authors
  1. Thayaparan, T.
  2. Lampropoulos, G.
  3. Wong, S.K.
  4. Riseborough, E.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
Abstract
An adaptive joint time-frequency algorithm has been applied and evaluated for focusing distorted ISAR (inverse synthetic aperture radar) images when the target motion is confined to a two-dimensional plane. It is shown that the adaptive joint time-frequency algorithm provides an effective method of achieving rotational motion compensation for ISAR imaging. Examples provided demonstrate the effectiveness of the adaptive joint time-frequency algorithm with both simulated and experimental ISAR data. Results show that if a target is moving smoothly, standard motion compensation generates a clear image of the target by using the conventional Fourier transform methods. However, when a target performs complex motion such as perturbed random motions, standard motion compensation is not sufficient to generate an acceptable image. In this case, the adaptive joint time-frequency algorithm provides an efficient candidate to resolve the image smearing caused by the time-varying behaviour and leads to a well focused ISAR image when the target motion is confined to a two-dimensional plane. The study also adds insight into the distortion mechanisms that affect the ISAR images of a target in motion.
Keywords
ISAR image;Time-Frequency Distribution;Image distortion;Time-frequency analysis
Report Number
DRDC-OTTAWA-SL-2003-012 — Scientific Literature
Date of publication
30 Aug 2003
Number of Pages
8
Reprinted from
IEEE Proc. Radar Sonar Navig, vol 150, no 4, 2003, p 213-220
DSTKIM No
CA024503
CANDIS No
522079
Format(s):
Hardcopy;Document Image stored on Optical Disk

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