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Your search keyword '"Cui, Anjing"' showing total 20 results
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20 results on '"Cui, Anjing"'

1. Moving Real-Target Imaging of a Beam-Broaden ISAL Based on Orthogonal Polarization Receiver and Along-Track Interferometry.

Author

Gao, Jinghan, Li, Daojing, Wu, Jiang, Cui, Anjing, and Wu, Shumei

Subjects
INTERFEROMETRY, SYSTEMS design, TRACKING radar, ALGORITHMS
Abstract

In response to the application requirement of wide-range high-resolution imaging of non-cooperative moving real targets by inverse synthetic-aperture ladar (ISAL), experiments were conducted on the depolarization effect of target materials, and the polarization selection of ISAL receiving and transmitting channels was discussed. Considering the impact of target depolarization and the demand for along-track interferometry, combined with beam-broaden and high-gain amplifiers, an ISAL system design method that can stably image multiple non-cooperative real targets has been proposed. Under the condition of broadening the transmitting and receiving beams to 3° in the elevation direction for non-cooperative moving vehicles, echo data with a duration of 1 s is obtained. The spatial correlation algorithm combined with along-track interferometry is used to estimate the vibration phase error. The sub-aperture Range-Doppler algorithm is used for imaging. The ISAL imaging results of the moving vehicle validated the high-resolution imaging ability of ISAL and its potential for stable imaging of non-cooperative moving real targets. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Sparse flight spotlight mode 3-D imaging of spaceborne SAR based on sparse spectrum and principal component analysis

Author

Zhou Kai, Zhang Running, Tian He, Yu Haifeng, Cui Anjing, Han Dong, Zhu Yu, Li Daojing, Liu Lei, and Du Jianbo

Subjects
Synthetic aperture radar, Computer science, Aperture, Frequency domain, Radar imaging, Principal component analysis, Orbit (dynamics), Sparse approximation, Barker code, Algorithm
Abstract

The spaceborne synthetic aperture radar (SAR) sparse flight 3-D imaging technology through multiple observations of the cross-track direction is designed to form the cross-track equivalent aperture, and achieve the third dimensionality recognition. In this paper, combined with the actual triple star orbits, a sparse flight spaceborne SAR 3-D imaging method based on the sparse spectrum of interferometry and the principal component analysis (PCA) is presented. Firstly, interferometric processing is utilized to reach an effective sparse representation of radar images in the frequency domain. Secondly, as a method with simple principle and fast calculation, the PCA is introduced to extract the main features of the image spectrum according to its principal characteristics. Finally, the 3-D image can be obtained by inverse transformation of the reconstructed spectrum by the PCA. The simulation results of 4.84 km equivalent cross-track aperture and corresponding 1.78 m cross-track resolution verify the effective suppression of this method on high-frequency sidelobe noise introduced by sparse flight with a sparsity of 49% and random noise introduced by the receiver. Meanwhile, due to the influence of orbit distribution of the actual triple star orbits, the simulation results of the sparse flight with the 7-bit Barker code orbits are given as a comparison and reference to illuminate the significance of orbit distribution for this reconstruction results. This method has prospects for sparse flight 3-D imaging in high latitude areas for its short revisit period.

Published
2021

15. 2 m衍射口径星载双波长陆海激光雷达系统研究

Author

李道京 Li Daojing, 高敬涵 Gao Jinghan, 崔岸婧 Cui Anjing, 周凯 Zhou Kai, and 吴疆 Wu Jiang

Subjects
Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials
Published
2022

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