Adaptive joint time-frequency analysis for focusing ISAR images from simulated and experimental radar data

Thayananthan Thayaparan; George Lampropoulos; Silvester K. Wong; Edwin Riseborough

doi:10.1117/12.511861

5 February 2004 Adaptive joint time-frequency analysis for focusing ISAR images from simulated and experimental radar data

Thayananthan Thayaparan, George Lampropoulos, Silvester K. Wong, Edwin Riseborough

Author Affiliations +

Proceedings Volume 5238, Image and Signal Processing for Remote Sensing IX; (2004) https://doi.org/10.1117/12.511861
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

When target motion is confined to a two-dimensional plane during coherent processing intervals, the adaptive joint time-frequency algorithm is shown to be an effective method for achieving rotational motion compensation in ISAR imaging. We illustrate the algorithm using both simulated and measured experimental radar data sets. The results show that the adaptive joint time-frequency algorithm performed very well in achieving a focused image of the target. Results also demonstrate that adaptive joint time-frequency techniques can significantly improve the distorted ISAR image over what can be achieved by conventional Fourier transform methods when the rotational motion of the target is confined to a two-dimensional plane. This study also adds insight into the distortion mechanisms that affect the ISAR images of a target in motion.

Citation Download Citation

Thayananthan Thayaparan, George Lampropoulos, Silvester K. Wong, and Edwin Riseborough "Adaptive joint time-frequency analysis for focusing ISAR images from simulated and experimental radar data", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); https://doi.org/10.1117/12.511861

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