An MTRC-AHP Compensation Algorithm for Bi-ISAR Imaging of Space Targets

Zhengkun Yuan; Junling Wang; Lizhi Zhao; Meiguo Gao

doi:10.1109/JSEN.2019.2951735

An MTRC-AHP Compensation Algorithm for Bi-ISAR Imaging of Space Targets

Zhengkun Yuan, Junling Wang^*, Lizhi Zhao, Meiguo Gao

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

For bistatic inverse synthetic aperture radar (Bi-ISAR) imaging of space targets, the impacts of scatterers' migration through resolution cell (MTRC) and azimuth high-order phase (AHP) are becoming more severe, especially for a long coherent processing interval (CPI). In this paper, the movement of a scatterer is modeled as a quartic function under the restriction of the space target orbit, then an MTRC-AHP compensation algorithm is proposed. A fourth-order keystone transform is introduced to remove the MTRC firstly, then the residual AHP terms are compensated gradually via the azimuth compensation phase and fractional Fourier transform (FRFT). The impact of the orbit prediction error of the space target on the algorithm is analyzed theoretically. Numerical simulations illustrate the effectiveness of the proposed method and validation of the theoretical analysis.

Original language	English
Article number	8891764
Pages (from-to)	2356-2367
Number of pages	12
Journal	IEEE Sensors Journal
Volume	20
Issue number	5
DOIs	https://doi.org/10.1109/JSEN.2019.2951735
Publication status	Published - 1 Mar 2020

Keywords

Bistatic inverse synthetic aperture radar (Bi-ISAR)
high-order phase
keystone transform
migration through resolution cell (MTRC)
space targets

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10.1109/JSEN.2019.2951735

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title = "An MTRC-AHP Compensation Algorithm for Bi-ISAR Imaging of Space Targets",

abstract = "For bistatic inverse synthetic aperture radar (Bi-ISAR) imaging of space targets, the impacts of scatterers' migration through resolution cell (MTRC) and azimuth high-order phase (AHP) are becoming more severe, especially for a long coherent processing interval (CPI). In this paper, the movement of a scatterer is modeled as a quartic function under the restriction of the space target orbit, then an MTRC-AHP compensation algorithm is proposed. A fourth-order keystone transform is introduced to remove the MTRC firstly, then the residual AHP terms are compensated gradually via the azimuth compensation phase and fractional Fourier transform (FRFT). The impact of the orbit prediction error of the space target on the algorithm is analyzed theoretically. Numerical simulations illustrate the effectiveness of the proposed method and validation of the theoretical analysis.",

keywords = "Bistatic inverse synthetic aperture radar (Bi-ISAR), high-order phase, keystone transform, migration through resolution cell (MTRC), space targets",

author = "Zhengkun Yuan and Junling Wang and Lizhi Zhao and Meiguo Gao",

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AU - Yuan, Zhengkun

AU - Wang, Junling

AU - Zhao, Lizhi

AU - Gao, Meiguo

PY - 2020/3/1

Y1 - 2020/3/1

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AB - For bistatic inverse synthetic aperture radar (Bi-ISAR) imaging of space targets, the impacts of scatterers' migration through resolution cell (MTRC) and azimuth high-order phase (AHP) are becoming more severe, especially for a long coherent processing interval (CPI). In this paper, the movement of a scatterer is modeled as a quartic function under the restriction of the space target orbit, then an MTRC-AHP compensation algorithm is proposed. A fourth-order keystone transform is introduced to remove the MTRC firstly, then the residual AHP terms are compensated gradually via the azimuth compensation phase and fractional Fourier transform (FRFT). The impact of the orbit prediction error of the space target on the algorithm is analyzed theoretically. Numerical simulations illustrate the effectiveness of the proposed method and validation of the theoretical analysis.

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KW - high-order phase

KW - keystone transform

KW - migration through resolution cell (MTRC)

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An MTRC-AHP Compensation Algorithm for Bi-ISAR Imaging of Space Targets

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Keywords

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