Compressive sensing based SAR imaging and autofocus using improved Tikhonov regularization

MS Kang, KT Kim - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
For synthetic aperture radar (SAR) imaging, the compressive sensing (CS) coupled with total
variation (TV)-based algorithm is known as an effective focusing technique using under …

[HTML][HTML] Efficient and accurate synthesis for array pattern shaping

M Kang, J Baek - Sensors, 2022 - mdpi.com
Array pattern synthesis (APS) aims to create the desired array pattern as closely as possible
to the prescribed mask template by varying the element excitations of the array. Herein, an …

Low-rank and patch-based method for enhanced sparse ISAR imaging

X Ren, J Cui, Y Bai, L Tan - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Due to nonideal conditions in actual applications of inverse synthetic aperture radar (ISAR),
some measurements are lost or the received signal is invalid for some time periods. In …

Windowed Two-Dimensional Fourier Transform Concentration and Its Application to ISAR Imaging

K Abratkiewicz - IEEE Transactions on Image Processing, 2023 - ieeexplore.ieee.org
This paper presents a novel non-parametric technique for two-dimensional spectrum
readability enhancement. The approach is based on relocating a windowed bivariate …

Enhanced compressed sensing autofocus for high-resolution airborne synthetic aperture radar

M Beheshti, V Shafiei, H Narimani - Digital Signal Processing, 2022 - Elsevier
The limited accuracy of the navigation system leads to deviations between the real and
measured trajectories in airborne synthetic aperture radar (SAR) which results in residual …

ISAR Imaging Algorithm Based on Fourier Dictionary Signal Decomposition and L0 Norm Minimization

A Lazarov, D Minchev - International Conference on Telecommunications …, 2023 - Springer
In In the present work an Inverse Synthetic Aperture Radar (ISAR) image reconstruction
algorithm based on Fourier Dictionary signal decomposition and l 0 norm minimization of the …

Compressive sensing‐based two‐dimensional scattering‐center extraction for incomplete RCS data

JH Bae, KT Kim - Etri Journal, 2020 - Wiley Online Library
We propose a two‐dimensional (2D) scattering‐center‐extraction (SCE) method using
sparse recovery based on the compressive‐sensing theory, even with data missing from the …

[HTML][HTML] Performance Analysis of Refocusing Algorithms for KOMPSAT-5 Images

SJ Lee, SG Lee - The Journal of Korean Institute of Electromagnetic …, 2022 - jkiees.org
요약 본 논문에서는 표적의 속도나 불규칙한 움직임으로 인해 발생하는 SAR 표적 신호의
블러링 (blurring) 현상을 보정하는 재초점화 기법의 성능 분석 연구를 수행한다. 이를 위해 …

[PDF][PDF] KOMPSAT-5 영상에대한재초점화(Refocusing) 성능분석

이승재, 이선구 - 한국전자파학회논문지, 2022 - jkiees.org
요 약본 논문에서는 표적의 속도나 불규칙한 움직임으로 인해 발생하는 SAR 표적 신호의
블러링 (blurring) 현상을 보정하는재초점화 기법의 성능 분석 연구를 수행한다. 이를 위해 …

Full polarization ISAR HRRP synthesizing method based on Evolutionary Multi-objective Optimization algorithm

P Liu, S Yong - International Conference on Frontiers of Electronics …, 2021 - dl.acm.org
In this paper, the motion compensation of high-resolution range profile (HRRP) for full
polarization inverse synthetic aperture radar (ISAR) based on sparse signal representation …