Paper
13 June 2024 Phase error compensation method for maneuvering target based on image entropy minimization
Author Affiliations +
Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131806Z (2024) https://doi.org/10.1117/12.3033574
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China
Abstract
Phase error compensation is very important for inverse synthetic aperture radar (ISAR) high-resolution imaging. However, the high-order motion of maneuvering target will cause the echo to produce spatial-variant phase error, traditional compensation methods cannot achieve good compensation results. Therefore, a phase error compensation method for maneuvering target is proposed. Firstly, the spatial-variant phase error model of maneuvering target is established. Then, the target motion is modeled as a high-order polynomial, and the phase error compensation model based on image entropy minimization is established. Finally, the whale optimization algorithm (WOA) algorithm is used to iteratively search the target motion parameters for phase error compensation. The proposed method's performance is demonstrated by the simulation results.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jishun Li, Canbin Yin, Yasheng Zhang, and Huafei Diao "Phase error compensation method for maneuvering target based on image entropy minimization", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131806Z (13 June 2024); https://doi.org/10.1117/12.3033574
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KEYWORDS
Detection and tracking algorithms

Error analysis

Motion models

Motion estimation

Scattering

Signal to noise ratio

Mathematical optimization

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