ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform

نویسندگان

  • Yong Wang
  • Ali Cherif Abdelkader
  • Bin Zhao
  • Jinxiang Wang
چکیده

Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational compensation, and the high quality ISAR images can be obtained by the parameters estimation of it combined with the Range-Instantaneous-Doppler (RID) technique. In this paper, a novel parameters estimation algorithm of the multi-component PPS with order three (cubic phase signal-CPS) based on the modified discrete polynomial-phase transform (MDPT) is proposed, and the corresponding new ISAR imaging algorithm is presented consequently. This algorithm is efficient and accurate to generate a focused ISAR image, and the results of real data demonstrate the effectiveness of it.

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عنوان ژورنال:

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2015