Angular Superresolution of Real Aperture Radar With High-Dimensional Data: Normalized Projection Array Model and Adaptive Reconstruction

Mao, Deqing; Yang, Jianyu; Zhang, Yongchao; Huo, Weibo; Xu, Fanyun; Pei, Jifang; Zhang, Yin; Huang, Yulin

doi:10.1109/tgrs.2022.3203131

Cited by 20 publications

(4 citation statements)

References 55 publications

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“…In this subsection, the related joint L 1 -L 2 method is introduced. Based on the convolution model in (7), the reconstruction of the target scattering coefficient x from noise-polluted echo data y is an ill-posed problem. Thus, the regularization method is utilized to address it.…”

Section: B Related Workmentioning

confidence: 99%

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Radar Forward-Looking Super-Resolution Imaging Using a Two-Step Regularization Strategy

Tuo

Mao

Zhang

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: B Related Workmentioning

confidence: 99%

“…R EAL aperture radar (RAR) forward-looking imaging technology has attracted increasing attention in the applications such as aircraft navigation and airborne forward-looking ground mapping [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]. High-resolution RAR imagery can describe the details of the observation area.…”

Section: Introductionmentioning

confidence: 99%

Radar Forward-Looking Super-Resolution Imaging Using a Two-Step Regularization Strategy

Tuo

Mao

Zhang

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

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“…Recently, there are also many works to improve the efficiency of the DOA algorithm. Mao [24] proposed an efficient generalized adaptive asymptotic minimum variance method to improve the angular resolution. However, it is based on the sparse asymptotic minimum variance algorithm [25], which has difficulty in controlling the end of iteration [26].…”

Section: Introductionmentioning

confidence: 99%

An Efficient 2D DOA Estimation Algorithm Based on OMP for Rectangular Array

Wang

Zhang

et al. 2023

Electronics

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Recently, orthogonal matching pursuit (OMP) has been widely used in direction of arrival (DOA) studies, which not only greatly improves the resolution of DOA, but can also be applied to single-snapshot and coherent source cases. When applying the OMP algorithm to the rectangular array DOA of the millimeter-wave radar, it is necessary to reshape the two-dimensional (2D) signal into a long one-dimensional (1D) signal. However, the long 1D signal will greatly increase the number and length of atoms in the complete dictionary of the OMP algorithm, which will greatly increase the amount of computation. Taking advantage of the sparsity of targets in the DOA space, an efficient 2D DOA estimation algorithm based on OMP for rectangular array is proposed. The main idea is to reduce the number of atoms in the complete dictionary of the OMP algorithm, thereby greatly reducing the amount of computation required. A simulation verifies that the efficiency of the proposed algorithm is much higher than the conventional algorithm with almost the same estimation accuracy.

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“…Multistatic forward-looking synthetic aperture radar (FLSAR) has been given much attention in military applications, such as unmanned aerial vehicle (UAV) navigation and missile guidance [1][2][3][4], because it can obtain high-resolution microwave imagery with short observation time according to the data combination of simultaneous multiple measurements, which improves the transmitter's survivability by strictly limiting its working duration [5][6][7]. However, the combined performance of Mu-FLSAR is straightforwardly constrained by its relative geometric configuration [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Geometric Configuration Design and Fast Imaging for Multistatic Forward-Looking SAR Based on Wavenumber Spectrum Formation Approach

2023

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Multistatic forward-looking synthetic aperture radar (Mu-FLSAR) has the potential of high-resolution imaging with short synthetic aperture time, which can improve the transmitter’s survivability, by coherently fusing simultaneously observed measurements of multiple receivers. However, the combined performance of the multiple measurements strictly depends on an appropriate geometric configuration among the transmitter and receivers because the forward-looking application limits the flight directions of receivers. In this paper, to design a geometric configuration for Mu-FLSAR, a wavenumber spectrum formation (WSF) approach is proposed based on the projection relationship between the wavenumber support regions (WSRs) and geometric configuration parameters. On the one hand, the projected pattern of multiple WSRs is deduced, and the relationship between multiple WSRs and the point spread function (PSF) is analyzed. Based on the geometric feature of the kernel WSR, which is formed by the transmitter and the master receiver, and the relationship between the geometric features and the geometric configuration parameters, including synthetic aperture time and azimuthal angle, a WSF method is proposed to visually and quickly deduce the geometric parameter of the salve receivers. On the other hand, based on the designed geometric configuration of Mu-FLSAR, a wavenumber-dependent fast polar format algorithm (WF-PFA) is proposed to efficiently reconstruct the targets relying on the geometric features of WSRs. Simulation results verify the proposed method.

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Angular Superresolution of Real Aperture Radar With High-Dimensional Data: Normalized Projection Array Model and Adaptive Reconstruction

Cited by 20 publications

References 55 publications

Radar Forward-Looking Super-Resolution Imaging Using a Two-Step Regularization Strategy

Radar Forward-Looking Super-Resolution Imaging Using a Two-Step Regularization Strategy

An Efficient 2D DOA Estimation Algorithm Based on OMP for Rectangular Array

Geometric Configuration Design and Fast Imaging for Multistatic Forward-Looking SAR Based on Wavenumber Spectrum Formation Approach

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