Uniform rotational motion compensation for inverse synthetic aperture radar with non-cooperative targets

Muñoz‐Ferreras, José‐María; Pérez-Martínez, F.

doi:10.1049/iet-rsn:20060170

Cited by 66 publications

(56 citation statements)

References 14 publications

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“…(14), the RC should be estimated firstly. Many approaches have been proposed in the literatures for the RC estimation in ISAR imaging [10][11][12][13][14]. Here, we utilize the integrated cubic phase function (ICPF) to estimate rotation motion information.…”

Section: The Improved Pfa Algorithmmentioning

confidence: 99%

Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in Isar Imaging

Liu¹,

Li²,

Yuan³

et al. 2014

PIER M

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Abstract-In this paper, we present a detailed analysis on the invalidation of the polar format algorithm (PFA) for the dechirped echo signals in inverse synthetic aperture radar (ISAR) imaging. After the datadriven translational motion compensation, the polar section of the dechirped signals is often undermined, and then the PFA is invalid. A revision method by range shifting is proposed to compensate the echo signals, and the standard polar section is obtained. An improved performance was achieved on the simulated and real data experiments. The theoretical analysis and the proposed method are confirmed.

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Section: The Improved Pfa Algorithmmentioning

confidence: 99%

Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in Isar Imaging

Liu¹,

Li²,

Yuan³

et al. 2014

PIER M

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show abstract

“…한편, 다표적 추적 및 식별을 위한 능동 위상 배열 안테나를 탑재한 최신 ISAR 시스템 에 따르면, 여러 표적을 동시에 연달아 추적할 경우, 각 표적에 대한 완전한 RCS 데이터를 수집하지 못할 수 있 다 [3] . [5] . 그림 1.…”

Section: ⅰ 서 론unclassified

A Study on the ISAR Image Reconstruction Algorithm Using Compressive Sensing Theory under Incomplete RCS Data

배지훈

강병수²,

김경태³

et al. 2014

The Journal of Korean Institute of Electromagnetic Engineering

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In this paper, we propose a parametric sparse recovery algorithm(SRA) applied to a radar signal model, based on the compressive sensing(CS), for the ISAR(Inverse Synthetic Aperture Radar) image reconstruction from an incomplete radar-cross-section(RCS) data and for the estimation of rotation rate of a target. As the SRA, the iteratively-reweighted-least-square(IRLS) is combined with the radar signal model including chirp components with unknown chirp rate in the cross-range direction. In addition, the particle swarm optimization(PSO) technique is considered for searching correct parameters related to the rotation rate. Therefore, the parametric SRA based on the IRLS can reconstruct ISAR image and estimate the rotation rate of a target efficiently, although there exists missing data in observed RCS data samples. The performance of the proposed method in terms of image entropy is also compared with that of the traditional interpolation methods for the incomplete RCS data.

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“…With the 2-D resolution of the ISAR increasing, migration through resolution cells (MTRC) will be inevitably produced because of the rotational motion of the target. As a result, MTRC may lead to image defocusing in both the range and cross-range domain [1,2].…”

Section: Introductionmentioning

confidence: 99%

Nonparametric Rotational Motion Compensation Technique for High-Resolution Isar Imaging via Golden Section Search

Liu¹,

Zou²,

Xu³

et al. 2014

PIER M

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Abstract-A novel rotational motion compensation algorithm for high-resolution inverse synthetic aperture radar (ISAR) imaging based on golden section search (GSS) method is presented. This paper focuses on the migration through cross-range resolution cells (MTCRRC) compensation, which requires rotation angle and center as priori information. The method performs in a nonparametric way and uses entropy criterion to estimate rotation angle and rotation center, which are used for rotational motion compensation. Experimental results show that the rotational motion in ISAR imaging can be effectively compensated. Moreover, the proposed method is robust and computationally more efficient compared to the parametric methods.

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Uniform rotational motion compensation for inverse synthetic aperture radar with non-cooperative targets

Cited by 66 publications

References 14 publications

Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in Isar Imaging

Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in Isar Imaging

A Study on the ISAR Image Reconstruction Algorithm Using Compressive Sensing Theory under Incomplete RCS Data

Nonparametric Rotational Motion Compensation Technique for High-Resolution Isar Imaging via Golden Section Search

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