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Migration through Resolution Cell Correction and Sparse Aperture ISAR Imaging for Maneuvering Target Based on Whale

Xinrong Guo1, Fengkai Liu2, Darong Huang2

  • 1Science College, Armed Police Engineering University, Xi'an 710051, China.

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|April 13, 2024
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Summary
This summary is machine-generated.

This study introduces a novel algorithm for inverse synthetic aperture radar (ISAR) imaging of maneuvering targets. The whale optimization algorithm-fast iterative shrinkage thresholding algorithm (WOA-FISTA) simultaneously corrects migration through resolution cells (MTRC) and addresses sparse aperture issues.

Keywords:
inverse synthetic aperture radar (ISAR)maneuvering targetmigration through resolution cell (MTRC)whale optimization algorithm (WOA)

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Area of Science:

  • Radar Imaging
  • Signal Processing
  • Optimization Algorithms

Background:

  • Non-cooperative targets in ISAR imaging present challenges due to maneuvering.
  • Target maneuvers cause image defocusing, hindering identification.
  • Increasing ISAR bandwidth amplifies migration through resolution cells (MTRC) effects.
  • Sparse aperture due to non-cooperation degrades traditional ISAR imaging.

Purpose of the Study:

  • To develop a simultaneous solution for MTRC correction and sparse aperture ISAR imaging of maneuvering targets.
  • To improve ISAR imaging performance under non-cooperative conditions.

Main Methods:

  • Proposed a novel algorithm: whale optimization algorithm-fast iterative shrinkage thresholding algorithm (WOA-FISTA).
  • Utilized FISTA for efficient MTRC correction and sparse aperture imaging.
  • Employed WOA for rotational parameter estimation to mitigate maneuvering effects.

Main Results:

  • Successfully demonstrated simultaneous MTRC correction and sparse aperture ISAR imaging for maneuvering targets.
  • Experimental results validated the algorithm's effectiveness on simulation and measured datasets.
  • The WOA-FISTA algorithm outperformed traditional methods across various signal-to-noise ratios.

Conclusions:

  • The WOA-FISTA algorithm provides an effective approach for ISAR imaging of maneuvering targets.
  • The method addresses key challenges including MTRC and sparse aperture.
  • This advancement offers improved target identification capabilities in complex scenarios.