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Journal articles on the topic 'Sparse aperture'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Liu, Tiecheng, Jingpei Hu, Linglin Zhu, Ruyi Zhou, Chong Zhang, Chinhua Wang, Aijun Zeng, and Huijie Huang. "Large effective aperture metalens based on optical sparse aperture system." Chinese Optics Letters 18, no. 10 (2020): 100001. http://dx.doi.org/10.3788/col202018.100001.

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2

Salvaggio, Philip S., John R. Schott, and Donald M. McKeown. "Genetic apertures: an improved sparse aperture design framework." Applied Optics 55, no. 12 (April 13, 2016): 3182. http://dx.doi.org/10.1364/ao.55.003182.

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3

Schindler, John K. "Sparse, Active Aperture Imaging." PIERS Online 4, no. 5 (2008): 581–85. http://dx.doi.org/10.2529/piers080120101702.

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4

Schindler, John K. "Sparse, Active Aperture Imaging." IEEE Journal of Selected Topics in Signal Processing 4, no. 1 (February 2010): 202–9. http://dx.doi.org/10.1109/jstsp.2009.2038981.

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5

Miller, Nicholas J., Matthew P. Dierking, and Bradley D. Duncan. "Optical sparse aperture imaging." Applied Optics 46, no. 23 (August 9, 2007): 5933. http://dx.doi.org/10.1364/ao.46.005933.

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6

Zhou, Zhi Wei, and Da Yong Wang. "Wavefront Sensing by Digital Holography in Optical Sparse Aperture Imaging System." Advanced Materials Research 718-720 (July 2013): 2015–20. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2015.

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The optical sparse aperture imaging system consists of several small apertures for high resolution imaging. The incoherent light from each small aperture will form an image together strictly at the same focal plane, while the phase error will destroy such co-phase condition. The phase error is caused by deployment of small aperture and should be diminished. We applied digital holography technology to detect the wavefront of this system. The theoretical analysis and experiment are presented to demonstrate successful reconstruction of phase error.

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7

Meinel, Aden and Marjorie. "Extremely Large Sparse Aperture Telescopes." Optics and Photonics News 14, no. 10 (October 1, 2003): 26. http://dx.doi.org/10.1364/opn.14.10.000026.

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8

ling Yan Fengtao, 闫锋涛, 范斌 Fan Bin, 侯溪 Hou Xi, and 伍凡 Wu Fan. "Large-aperture mirror test using sparse sub-aperture samp." High Power Laser and Particle Beams 23, no. 12 (2011): 3193–96. http://dx.doi.org/10.3788/hplpb20112312.3193.

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9

Zeng, Cao, MinHang Wang, GuiSheng Liao, and ShengQi Zhu. "Sparse synthetic aperture radar imaging with optimized azimuthal aperture." Science China Information Sciences 55, no. 8 (June 21, 2012): 1852–59. http://dx.doi.org/10.1007/s11432-012-4604-9.

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10

Yuntao He, Yuntao He, Haiping Huang Haiping Huang, Yuesong Jiang Yuesong Jiang, and Yuedong Zhang Yuedong Zhang. "Optical phase control for MMW sparse aperture upconversion imaging." Chinese Optics Letters 12, no. 5 (2014): 051101–51106. http://dx.doi.org/10.3788/col201412.051101.

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11

Xiao, Da, Fulin Su, and Jianjun Gao. "Autofocus approach for sparse aperture inverse synthetic aperture radar imaging." Electronics Letters 51, no. 22 (October 2015): 1811–13. http://dx.doi.org/10.1049/el.2015.1516.

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12

Fang, Yang, Baoping Wang, Chao Sun, Shuzhen Wang, Jiansheng Hu, and Zuxun Song. "Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures." Sensors 18, no. 11 (November 2, 2018): 3750. http://dx.doi.org/10.3390/s18113750.

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This paper proposes a new interferometric near-field 3-D imaging approach based on multi-channel joint sparse reconstruction to solve the problems of conventional methods, i.e., the irrespective correlation of different channels in single-channel independent imaging which may lead to deviated positions of scattering points, and the low accuracy of imaging azimuth angle for real anisotropic targets. Firstly, two full-apertures are divided into several sub-apertures by the same standard; secondly, the joint sparse metric function is constructed based on scattering characteristics of the target in multi-channel status, and the improved Orthogonal Matching Pursuit (OMP) method is used for imaging solving, so as to obtain high-precision 3-D image of each sub-aperture; thirdly, comprehensive sub-aperture processing is performed using all sub-aperture 3-D images to obtain the final 3-D images; finally, validity of the proposed approach is verified by using simulation electromagnetic data and data measured in the anechoic chamber. Experimental results show that, compared with traditional interferometric ISAR imaging approaches, the algorithm proposed in this paper is able to provide a higher accuracy in scattering center reconstruction, and can effectively maintain relative phase information of channels.

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13

Liu Jun, 柳军, 姜慧 Jiang Hui, 王军 Wang Jun, 吴泉英 Wu Quanying, 沈婷婷 Shen Tingting, 范君柳 Fan Junliu, and 臧涛成 Zang Taocheng. "Study on the Torus Sparse Aperture." Laser & Optoelectronics Progress 49, no. 11 (2012): 111101. http://dx.doi.org/10.3788/lop49.111101.

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14

Meinel, Aden Baker. "Large sparse-aperture space optical systems." Optical Engineering 41, no. 8 (August 1, 2002): 1983. http://dx.doi.org/10.1117/1.1490557.

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15

Lacour, S., P. Tuthill, P. Amico, M. Ireland, D. Ehrenreich, N. Huelamo, and A. M. Lagrange. "Sparse aperture masking at the VLT." Astronomy & Astrophysics 532 (July 25, 2011): A72. http://dx.doi.org/10.1051/0004-6361/201116712.

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16

Gauchet, L., S. Lacour, A. M. Lagrange, D. Ehrenreich, M. Bonnefoy, J. H. Girard, and A. Boccaletti. "Sparse aperture masking at the VLT." Astronomy & Astrophysics 595 (October 25, 2016): A31. http://dx.doi.org/10.1051/0004-6361/201526404.

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17

Zhang, Shuanghui, Yongxiang Liu, and Xiang Li. "Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning." Sensors 17, no. 10 (October 10, 2017): 2295. http://dx.doi.org/10.3390/s17102295.

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18

Wang Youqing, 王友清, 谈志杰 Tan Zhijie, 范君柳 Fan Junliu, 姜慧 Jiang Hui, 陈莹 Chen Ying, 李聃 Li Dan, 何心 He Xin, and 吴泉英 Wu Quanying. "Comparative Research on Three Sub-Apertures and Three Arms Sparse Aperture Systems." Laser & Optoelectronics Progress 50, no. 12 (2013): 121101. http://dx.doi.org/10.3788/lop50.121101.

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19

LIANG Shi-tong, 梁士通, 杨建峰 YANG Jian-feng, 李湘眷 LI Xiang-juan, 白瑜 BAI Yu, and 王洪伟 WANG Hong-wei. "Study of a New Sparse-aperture System." ACTA PHOTONICA SINICA 39, no. 1 (2010): 148–52. http://dx.doi.org/10.3788/gzxb20103901.0148.

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20

Manikas, A., Y. I. Kamil, and M. Willerton. "Source Localization Using Sparse Large Aperture Arrays." IEEE Transactions on Signal Processing 60, no. 12 (December 2012): 6617–29. http://dx.doi.org/10.1109/tsp.2012.2210886.

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21

Wang, Qi, Renbiao Wu, Mengdao Xing, and Zheng Bao. "A New Algorithm for Sparse Aperture Interpolation." IEEE Geoscience and Remote Sensing Letters 4, no. 3 (July 2007): 480–84. http://dx.doi.org/10.1109/lgrs.2007.897394.

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22

Samadi, S., M. Çetin, and M. A. Masnadi-Shirazi. "Sparse representation-based synthetic aperture radar imaging." IET Radar, Sonar & Navigation 5, no. 2 (2011): 182. http://dx.doi.org/10.1049/iet-rsn.2009.0235.

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23

Xu, Gang, Meng-Dao Xing, Xiang-Gen Xia, Qian-Qian Chen, Lei Zhang, and Zheng Bao. "High-Resolution Inverse Synthetic Aperture Radar Imaging and Scaling With Sparse Aperture." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8, no. 8 (August 2015): 4010–27. http://dx.doi.org/10.1109/jstars.2015.2439266.

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24

Zongliang Xie, Zongliang Xie, Haotong Ma Haotong Ma, Bo Qi Bo Qi, Ge Ren Ge Ren, Jianliang Shi Jianliang Shi, Xiaojun He Xiaojun He, Yufeng Tan Yufeng Tan, Li Dong Li Dong, and and Zhipeng Wang and Zhipeng Wang. "Experimental demonstration of enhanced resolution of a Golay3 sparse-aperture telescope." Chinese Optics Letters 15, no. 4 (2017): 041101–41104. http://dx.doi.org/10.3788/col201715.041101.

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25

Zang, Bo, Lei Zhang, Yu Tang, and Meng-dao Xing. "Study on Sparse Aperture of Inverse Synthetic Aperture Imaging Ladar with Low SNR." Journal of Electronics & Information Technology 32, no. 12 (January 25, 2011): 2808–13. http://dx.doi.org/10.3724/sp.j.1146.2010.00669.

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26

Yingni, Hou, and Wang Xia. "Sparse aperture wide-angle inverse synthetic aperture radar imaging based on compressive sensing." Journal of Engineering 2019, no. 20 (October 1, 2019): 6444–47. http://dx.doi.org/10.1049/joe.2019.0329.

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27

Xu, Gang, Mengdao Xing, and Zheng Bao. "High‐resolution inverse synthetic aperture radar imaging of manoeuvring targets with sparse aperture." Electronics Letters 51, no. 3 (February 2015): 287–89. http://dx.doi.org/10.1049/el.2014.3368.

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28

Venkatesh, S., N. Viswanathan, and D. Schurig. "W-band sparse synthetic aperture for computational imaging." Optics Express 24, no. 8 (April 8, 2016): 8317. http://dx.doi.org/10.1364/oe.24.008317.

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29

Salvaggio, Philip S., John R. Schott, and Donald M. McKeown. "Validation of modeled sparse aperture post-processing artifacts." Applied Optics 56, no. 4 (January 24, 2017): 761. http://dx.doi.org/10.1364/ao.56.000761.

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30

Milman, Andrew S. "Sparse-aperture microwave radiometers for Earth remote sensing." Radio Science 23, no. 2 (March 1988): 193–205. http://dx.doi.org/10.1029/rs023i002p00193.

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31

An, Qichang, Xiaoxia Wu, Xudong Lin, Ming Ming, Jianli Wang, Tao Chen, Jingxu Zhang, et al. "Large segmented sparse aperture collimation by curvature sensing." Optics Express 28, no. 26 (December 18, 2020): 40176. http://dx.doi.org/10.1364/oe.413599.

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32

Willson, M., S. Kraus, J. Kluska, J. D. Monnier, M. Ireland, A. Aarnio, M. L. Sitko, N. Calvet, C. Espaillat, and D. J. Wilner. "Sparse aperture masking interferometry survey of transitional discs." Astronomy & Astrophysics 595 (October 24, 2016): A9. http://dx.doi.org/10.1051/0004-6361/201628859.

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33

Kamil, Yousif I., and Athanassios Manikas. "Multisource Spatiotemporal Tracking Using Sparse Large Aperture Arrays." IEEE Transactions on Aerospace and Electronic Systems 53, no. 2 (April 2017): 837–53. http://dx.doi.org/10.1109/taes.2017.2665198.

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34

Zhang, Shuanghui, Yongxiang Liu, and Xiang Li. "Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning." IEEE Transactions on Image Processing 29 (2020): 3213–26. http://dx.doi.org/10.1109/tip.2019.2957939.

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35

Hu, Changyu, Ling Wang, Daiyin Zhu, and Otmar Loffeld. "Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary Learning." Remote Sensing 13, no. 14 (July 17, 2021): 2812. http://dx.doi.org/10.3390/rs13142812.

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Sparse imaging relies on sparse representations of the target scenes to be imaged. Predefined dictionaries have long been used to transform radar target scenes into sparse domains, but the performance is limited by the artificially designed or existing transforms, e.g., Fourier transform and wavelet transform, which are not optimal for the target scenes to be sparsified. The dictionary learning (DL) technique has been exploited to obtain sparse transforms optimized jointly with the radar imaging problem. Nevertheless, the DL technique is usually implemented in a manner of patch processing, which ignores the relationship between patches, leading to the omission of some feature information during the learning of the sparse transforms. To capture the feature information of the target scenes more accurately, we adopt image patch group (IPG) instead of patch in DL. The IPG is constructed by the patches with similar structures. DL is performed with respect to each IPG, which is termed as group dictionary learning (GDL). The group oriented sparse representation (GOSR) and target image reconstruction are then jointly optimized by solving a l1 norm minimization problem exploiting GOSR, during which a generalized Gaussian distribution hypothesis of radar image reconstruction error is introduced to make the imaging problem tractable. The imaging results using the real ISAR data show that the GDL-based imaging method outperforms the original DL-based imaging method in both imaging quality and computational speed.

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36

Zhong, Li-hua, Dong-hui Hu, Chi-biao Ding, and Wen-yi Zhang. "ISAR Sparse Aperture Imaging Algorithm for Large Size Target." JOURNAL OF RADARS 1, no. 3 (November 26, 2012): 292–300. http://dx.doi.org/10.3724/sp.j.1300.2012.20033.

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37

An Qichang, 安其昌, 张景旭 Zhang Jingxu, 杨. 飞. Yang Fei, and 赵宏超 Zhao Hongchao. "Alignment for sparse aperture telescope with serial robot arm." Infrared and Laser Engineering 47, no. 8 (2018): 818002. http://dx.doi.org/10.3788/irla201847.0818002.

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38

Liu Li, 刘丽, 江月松 Jiang Yuesong, and 王长伟 Wang Changwei. "Imaging Quality of Double-Circle Sparse Aperture Array Configuration." Acta Optica Sinica 29, no. 10 (2009): 2774–79. http://dx.doi.org/10.3788/aos20092910.2774.

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39

Zhang, Luting, Ming Liu, Yuejin Zhao, Liquan Dong, Xinji Li, and Haoyuan Du. "The optimal design of a binaural sparse-aperture system." Results in Physics 16 (March 2020): 102970. http://dx.doi.org/10.1016/j.rinp.2020.102970.

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40

Subedi, Hari, Neil T. Zimmerman, N. Jeremy Kasdin, Kathleen Cavanagh, and A. J. Eldorado Riggs. "Coronagraph-integrated wavefront sensing with a sparse aperture mask." Journal of Astronomical Telescopes, Instruments, and Systems 1, no. 3 (June 12, 2015): 039001. http://dx.doi.org/10.1117/1.jatis.1.3.039001.

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41

Park, Hyuk, and Yong-Hoon Kim. "Microwave motion induced synthetic aperture radiometer using sparse array." Radio Science 44, no. 3 (June 2009): n/a. http://dx.doi.org/10.1029/2008rs003998.

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42

Zhou, Chenghao, and Zhile Wang. "Mid-frequency MTF compensation of optical sparse aperture system." Optics Express 26, no. 6 (March 7, 2018): 6973. http://dx.doi.org/10.1364/oe.26.006973.

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43

Fiete, Robert D. "Image quality of sparse-aperture designs for remote sensing." Optical Engineering 41, no. 8 (August 1, 2002): 1957. http://dx.doi.org/10.1117/1.1490555.

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44

Guo, Y., P. Monk, and D. Colton. "The linear sampling method for sparse small aperture data." Applicable Analysis 95, no. 8 (July 16, 2015): 1599–615. http://dx.doi.org/10.1080/00036811.2015.1065317.

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45

Goodman, N. A., and J. M. Stiles. "Resolution and synthetic aperture characterization of sparse radar arrays." IEEE Transactions on Aerospace and Electronic Systems 39, no. 3 (July 2003): 921–35. http://dx.doi.org/10.1109/taes.2003.1238746.

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46

Wang, Ping, Jin-yang Jiang, Na Li, Han-wu Luo, Fang Li, and Shi-gang Cui. "Sparse dictionary for synthetic transmit aperture medical ultrasound imaging." Journal of the Acoustical Society of America 142, no. 1 (July 2017): 240–48. http://dx.doi.org/10.1121/1.4993644.

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47

Caba, Wilson, and Glenn Boreman. "Active Sparse-Aperture Millimeter-Wave Imaging Using Digital Correlators." Journal of Infrared, Millimeter, and Terahertz Waves 32, no. 4 (February 5, 2011): 434–50. http://dx.doi.org/10.1007/s10762-011-9767-8.

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48

Liu, Yang, Haotong Ma, and Bo Qi. "Decenter Error Sensing Technology of Sparse Aperture Telescope Systems." IEEE Photonics Journal 13, no. 2 (April 2021): 1–9. http://dx.doi.org/10.1109/jphot.2021.3064260.

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49

Tao, Yu, Gong Zhang, and Jingya Zhang. "Sparse direction of arrival estimation of co-prime MIMO radar using sparse aperture completion." Journal of Engineering 2019, no. 20 (October 1, 2019): 7052–55. http://dx.doi.org/10.1049/joe.2019.0536.

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50

Chandramoorthi, Sowmiya, and Arun K. Thittai. "ω-k Algorithm for Sparse-Transmit Sparse-Receive Diverging Beam Synthetic Aperture Transmit Scheme." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67, no. 10 (October 2020): 2046–56. http://dx.doi.org/10.1109/tuffc.2020.2998802.

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