scholarly journals A Sparse SAR Imaging Method Based on Multiple Measurement Vectors Model

2017 ◽  
Vol 9 (3) ◽  
pp. 297 ◽  
Author(s):  
Dongyang Ao ◽  
Rui Wang ◽  
Cheng Hu ◽  
Yuanhao Li
Keyword(s):  
Imaging Method ◽  
Multiple Measurement ◽  
Multiple Measurement Vectors ◽  
Sar Imaging

scholarly journals Downward-Looking Linear Array 3D SAR Imaging Based on Multiple Measurement Vectors Model and Continuous Compressive Sensing

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Qi-yong Liu ◽  
Qun Zhang ◽  
Fu-fei Gu ◽  
Yi-chang Chen ◽  
Le Kang ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
3D Imaging ◽  
Linear Array ◽  
Multiple Measurement ◽  
Memory Space ◽  
Multiple Measurement Vectors ◽  
Huge Data ◽  
Imaging Result ◽  
Sar Imaging ◽  
Cross Track

This paper concerns the problems of huge data and off-grid effect of cross-track direction in downward-looking linear array (DLLA) 3D SAR imaging. Since the 3D imaging needs a great deal of memory space, we consider the methods of downsampling to reduce the data quantity. In the azimuth direction, we proposed a method based on the multiple measurement vectors (MMV) model, which can enhance computational efficiency and elevate the performance of antinoise, to recover the signal. Further, in cross-track direction, since the resolution is restricted by the length of array, as well as platform size, the influence of off-grid effect is more serious than azimuth direction. Continuous compressive sensing (CCS), which can solve the off-grid effect of the classical compressive sensing (CS), is presented to obtain the precise imaging result under the noise scenarios. Finally, we validate our method by extension numerical experiments.

Imaging Method of Downward-Looking 3D Synthetic Aperture Radar Based on Multiple Measurement Vectors Model

2017 ◽  
Vol 37 (11) ◽  
pp. 1111003
Author(s):  
康 乐 Kang Le ◽  
张 群 Zhang Qun ◽  
陈一畅 Chen Yichang ◽  
刘奇勇 Liu Qiyong
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Imaging Method ◽  
Multiple Measurement ◽  
Multiple Measurement Vectors ◽  
Aperture Radar

A gridless sparse ISAR imaging method using atomic norm minimization based on multiple measurement vectors

2021 ◽  
Vol 12 (6) ◽  
pp. 604-613
Author(s):  
Mingjiu Lv ◽  
Wenfeng Chen ◽  
Jianchao Ma ◽  
Jun Yang ◽  
Xiaoyan Ma
Keyword(s):  
Imaging Method ◽  
Multiple Measurement ◽  
Multiple Measurement Vectors ◽  
Norm Minimization ◽  
Atomic Norm ◽  
Isar Imaging

scholarly journals Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection

2012 ◽  
Vol 92 (12) ◽  
pp. 3075-3079 ◽  
Author(s):  
Yang You ◽  
Laming Chen ◽  
Yuantao Gu ◽  
Wei Feng ◽  
Hui Dai
Keyword(s):  
Zero Point ◽  
Multiple Measurement ◽  
Multiple Measurement Vectors ◽  
Sparse Solutions

A SAR Imaging Method for Walking Human Based on m ωka-FrFT-mmGLRT

2021 ◽  
pp. 1-12
Author(s):  
Shuliang Gui ◽  
Jin Li ◽  
Yue Yang ◽  
Feng Zuo ◽  
Yiming Pi
Keyword(s):  
Imaging Method ◽  
Sar Imaging

scholarly journals An Accurate Sparse SAR Imaging Method for Enhancing Region-Based Features Via Nonconvex and TV Regularization

2021 ◽  
Vol 14 ◽  
pp. 350-363
Author(s):  
Zhongqiu Xu ◽  
Mingqian Liu ◽  
Guoru Zhou ◽  
Zhonghao Wei ◽  
Bingchen Zhang ◽  
...  
Keyword(s):  
Imaging Method ◽  
Tv Regularization ◽  
Sar Imaging
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