Novel Approach for ISAR Cross-Range Scaling Based on the Multidelay Discrete Polynomial- Phase Transform Combined With Keystone Transform

Wang, Yong; Huang, Xin; Cao, Rui

doi:10.1109/tgrs.2019.2944674

Cited by 19 publications

(8 citation statements)

References 22 publications

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“…Several cross-range scaling methods based on estimating the slow-time phase history of multiple dominant point scatterers have been proposed in [17], [207]- [218]. These methods utilize the relationship between the higher order phase coefficients the cross-range location and the rotational velocity of the scatterers.…”

Section: Cross-range Scalingmentioning

confidence: 99%

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

Vehmas¹,

Neuberger

2021

IEEE Access

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Radar can obtain high spatial resolution at large operating distances and its operation is largely independent from weather and lighting conditions. This makes it an important instrument in an ever-increasing number of applications requiring robust and reliable sensing of the environment. Due to the advancements in semiconductor technology and digital computation power, radar can obtain increasingly better position estimation accuracy, detection sensitivity, and target resolution. High-resolution imaging is an example of a rapidly advancing field of radar technology. Inverse synthetic aperture radar (ISAR) is an imaging technique that uses the motion of a target to obtain a high-resolution radar image of it. This paper presents a comprehensive review of past work and the state-of-the-art in ISAR imaging systems, algorithms, and applications. Starting from the early historical developments of simple monostatic range-Doppler imaging, we present the developments up to the current advanced spatially distributed imaging modalities and reconstruction algorithms. The list of references includes the most influential ISAR publications in the open literature up to early 2021.

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Section: Cross-range Scalingmentioning

confidence: 99%

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

Vehmas¹,

Neuberger

2021

IEEE Access

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“…Our main task is to rescale the ISAR image in the crossrange domain, and the ultimate goal of cross-range scaling is the estimation of RA and RV [11,12]. Several methods have been proposed in the open literature to achieve cross-range scaling of ISAR images [13][14][15][16][17][18][19][20][21]. In general, these methods can be sorted into two groups.…”

Section: Introductionmentioning

confidence: 99%

“…In Wang et al. [18], the cross‐range scaling problem is solved based on multi‐delay discrete polynomial‐phase transform (DPT) combing with keystone transform. This method is insensitive to noise to some extent.…”

Section: Introductionmentioning

confidence: 99%

A modified ISAR cross‐range scaling method based on iterative principle component analysis

Tong

Liu

2021

IET Signal Processing

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High-resolution inverse synthetic aperture radar (ISAR) imaging can produce electromagnetic images of a target in the range and cross-range domain. However, to make full use of an ISAR image in target detection and recognition, we need to rescale the image in a homogeneous range and cross-range domain, and further, to estimate the effective rotational velocity (RV) of the target. A precise ISAR image cross-range scaling method is proposed. A candidate RV is obtained based on the bisection method. Then, the effective rotation angle (RA) between two sequential rescaled images is characterised by the RA between the major axes of the images. These axes are extracted by principle component analysis (PCA). A precise estimation of the RV is obtained through iterative PCA and bisection. Simulated and real data experimental results validate the effectiveness of the proposed method.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…In recent years, the inverse synthetic aperture radar (ISAR) imaging method, which has been used in many applications, has attracted much more attention in the remote sensing category. This technique can be used to classify targets due to the fact that it can obtain a well focused two-dimensional (2D) image [1,2]. The traditional range-Doppler (RD) method is effective in obtaining a smoothly moving target's high-resolution ISAR image.…”

Section: Introductionmentioning

confidence: 99%

Moving target inverse synthetic aperture radar image resolution enhancement based on two‐dimensional block sparse signal reconstruction

Tong

Liu

2021

IET Image Processing

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To achieve the high-resolution inverse synthetic aperture radar (ISAR) imaging of moving targets, the range Doppler method and compressed sensing technique can be used. However, those methods are generally faced with the problem of migration through range cells and basis mismatch problems, and the imaging results can be improved. To solve these problems and improve the image quality, the problem of ISAR imaging is termed as a block-sparse signal recovery problem by utilizing the block-sparse structure of the ISAR images. A localized low-rank promoting (LLP) method is introduced and extended to the complex case for the recovery of range compressed block-sparse signals. The sparse recovery problem is solved by minimizing another function, which is the surrogate function that can be solved more effectively. Based on the LLP method, the coefficients of the range compressed echo signal are reconstructed and some 2 × 2 matrices can be obtained. And then the log-determinant function is introduced to find the low rankness solutions for these matrices. Then the LLP method is also used in the cross-range domain to reconstruct the ISAR image. Experimental results show that the proposed method can recover better focused and higher quality ISAR images compared with the traditional methods.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Novel Approach for ISAR Cross-Range Scaling Based on the Multidelay Discrete Polynomial- Phase Transform Combined With Keystone Transform

Cited by 19 publications

References 22 publications

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

A modified ISAR cross‐range scaling method based on iterative principle component analysis

Moving target inverse synthetic aperture radar image resolution enhancement based on two‐dimensional block sparse signal reconstruction

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