Enhanced and Efficient Isar Image Focusing Using the Discrete Gabor Representation in an Oversampling Scheme

Park, Jihoon; Myung, Noh‐Hoon

doi:10.2528/pier13022004

Cited by 14 publications

(8 citation statements)

References 31 publications

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“…A simple geometry of ISAR imaging is shown in Figure 1. The instantaneous distance from the scattering point p(x p , y p ) to the radar can be approximated as [14]:…”

Section: Rotational Isar Imaging Model For Maneuvering Targetmentioning

confidence: 99%

A Novel Range-Instantaneous-Doppler Isar Imaging Algorithm for Maneuvering Targets via Adaptive Doppler Spectrum Extraction

Fan¹,

Shi²,

Liu³

et al. 2015

PIER C

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Abstract-A novel range-instantaneous-Doppler (RID) algorithm of inverse synthetic aperture radar (ISAR) imaging based on adaptive Doppler spectrum extraction is proposed in this paper. Regarding maneuvering targets, such as military aircraft, the ISAR image is blurred on cross-range domain when the range-Doppler (RD) algorithm is applied. The RID imaging method is often used to resolve the Doppler ambiguity but there are some scattering points that could be lost because the sliced time is fixed in traditional RID imaging. To the method proposed in this paper, the optimal Doppler spectrum of each range bin is extracted by gradient energy function (GEF) after time-frequency (TF) analysis and then all of the optimal Doppler spectrums are combined to obtain a final 2-D RID image of the target. Compared with the traditional RID method, the novel algorithm can obtain image with better focused quality. The results obtained from simulated and field-measured data verify the superiority of the proposed algorithm.

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“…A simple geometry of ISAR imaging is shown in Figure 1. The instantaneous distance from the scattering point p(x p , y p ) to the radar can be approximated as [14]:…”

Section: Rotational Isar Imaging Model For Maneuvering Targetmentioning

confidence: 99%

A Novel Range-Instantaneous-Doppler Isar Imaging Algorithm for Maneuvering Targets via Adaptive Doppler Spectrum Extraction

Fan¹,

Shi²,

Liu³

et al. 2015

PIER C

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“…The radial acceleration, acceleration rate, angular acceleration, and angular acceleration rate of targets will lead the echo signal to be a CPS along the azimuth bin, which degrades the imaging quality. After the migration compensation, initial distance compensation and range compression [18][19][20][21][22], the complex range profile can be represented as In order to improve the image quality, we should estimate a 2 and a 3 , and utilize them to compensate the Doppler frequency shift. Below we utilize the DMNUFFT to obtain the ISAR image.…”

Section: Isar Imaging With Dmnufftmentioning

confidence: 99%

Fast Parameter Estimation Algorithm for Cubic Phase Signal Based on Quantifying Effects of Doppler Frequency Shift

Zheng¹,

Su²,

Liu³

et al. 2013

PIER

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Abstract-For the chirp rate and its change rate estimation of cubic phase signal (CPS), conventional algorithms cannot achieve a trade-off between low computational cost and high performance. In this paper, by utilizing the numerical computational method (NCM), effects of Doppler frequency shift are quantified, and the relationships of the optimal signal length with the chirp rate and change rate of chirp rate are obtained. Then a fast parameter estimation algorithm (DMNUFFT), based on dechirp method (DM) and nonuniform fast Fourier transform (NUFFT), is proposed. Compared with existing algorithms, DMNUFFT can achieve high performance with relatively low computational cost. The performance analyses and an application to inverse synthetic aperture radar (ISAR) imaging are shown to validate the effectiveness of DMNUFFT.

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“…Inverse Synthetic Aperture Radar (ISAR) imaging is a technique to generate a two-dimensional high resolution image of a target [1][2][3][4]. Among many ISAR imaging techniques, range-Doppler imaging (RDI) is widely used because of its simplicity [5].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Isar Imaging Method for Multiple Targets

Jung¹,

Kim²,

Kim³

et al. 2014

PIER

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Abstract-This paper proposes an efficient method to obtain ISAR images of multiple targets flying in formation. The proposed method improves the coarse alignment and segmentation of the existing method. The improved coarse alignment method models the flight trajectory using a combination of a polynomial and Gaussian basis functions, and the optimum parameter of the trajectory is found using particle swarm optimization. In the improved segmentation, the binary image of the bulk ISAR image that contains all targets is constructed using a two-dimensional constant false alarm detector, then the image closing method is applied to the binary image. Finally, the connected set of binary pixels is used to segment each target from the bulk image. Simulations using three targets composed of point scattering centers and the measured data of the Boeing747 aircraft prove the effectiveness of the proposed method to segment three targets flying in formation.

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Enhanced and Efficient Isar Image Focusing Using the Discrete Gabor Representation in an Oversampling Scheme

Cited by 14 publications

References 31 publications

A Novel Range-Instantaneous-Doppler Isar Imaging Algorithm for Maneuvering Targets via Adaptive Doppler Spectrum Extraction

A Novel Range-Instantaneous-Doppler Isar Imaging Algorithm for Maneuvering Targets via Adaptive Doppler Spectrum Extraction

Fast Parameter Estimation Algorithm for Cubic Phase Signal Based on Quantifying Effects of Doppler Frequency Shift

An Efficient Isar Imaging Method for Multiple Targets

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