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Dive into the research topics where Xueyan Kang is active.

Publication


Featured researches published by Xueyan Kang.


Archive | 2018

Stepped-Chirp Burst Waveform and SAR Imaging

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

The stepped-frequency signal is a kind of flexible high-range resolution waveform, it is sensitive to the radial velocity, and the couple between range and Doppler is very complicated. The target energy is distributed to the adjacent range cells, which results in the degradation of the range resolution and the loss of SNR.


Archive | 2018

Super-Resolution Imaging Method Based on Regularization and Deconvolution

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

The process of radar-radiating electromagnetic waves and receiving the backscatter echo signal can be expressed in the form of matrix operations. The backscattering RCS of the remote sensing region can be estimated by matrix inversion method.


Archive | 2018

The Basis of Microwave Imaging Radar

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Synthetic aperture radar (SAR) obtains the two-dimensional high-resolution image by means of pulse compression technology in range dimension and synthetic aperture processing in azimuth dimension.


Archive | 2018

SAR Super-Resolution Imaging Method Based on Spectral Estimation

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Super-resolution information processing technology of synthetic aperture radar uses super-resolution imaging algorithms, namely the use of high-resolution spectral estimation methods to alternate Fourier spectrum estimation method, the extrapolation of efficient signal spectrum or the adaptive weighting methods.


Archive | 2018

Foundation of Super-Resolution Microwave Imaging

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Super-resolution imaging algorithms use high-resolution spectrum estimation method, effective spectrum extrapolation method, adaptive weighted method, or inverse problem-solving method to process microwave imaging radar data. These kinds of algorithms can break through the performance limitations of Fourier imaging method to improve image resolution further without increasing the signal bandwidth and the length of the synthetic aperture.


Archive | 2018

Spotlight SAR Technology

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Spotlight model is a specialties operating model of Synthetic Aperture Radar (SAR). It is an effective means of achieving high azimuth resolution.


Archive | 2018

SAR Super-Resolution Methods Based on Spectral Bandwidth Extrapolation and Adaptive Side Lobe Reduction

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Spectral bandwidth extrapolation refers to the data of known band-limited signal in a certain bandwidth range can be improved the resolution through a priori knowledge of the signal to seek outside the bandwidth of the data.


Archive | 2018

Sliding Spotlight Synthetic Aperture Radar

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Sliding Spotlight synthetic aperture radar is an operating mode between Strip synthetic aperture radar and spotlight synthetic aperture radar.


Archive | 2018

Radar Resolution Theory

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

Radar resolution is the ability of a radar system to distinguish between two and more adjacent targets in a multi-target environment, which can be described by one of the target’s position parameters (range, azimuth, and elevation) or motion parameters (velocity and acceleration) to distinguish target.


Archive | 2018

Single Phase Center Multi-beam SAR

Ruliang Yang; Haiying Li; Shiqiang Li; Ping Zhang; Lulu Tan; Xiangwu Gao; Xueyan Kang

One of the fundamental limitations in the design of space borne SAR systems is the contradiction between the swath and azimuth resolution of the survey. This contradiction arises from their differing demands on the system pulse repetition frequency (PRF).

Collaboration


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Haiying Li

Chinese Academy of Sciences

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Lulu Tan

Chinese Academy of Sciences

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Ping Zhang

Chinese Academy of Sciences

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Ruliang Yang

Chinese Academy of Sciences

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Shiqiang Li

Chinese Academy of Sciences

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Xiangwu Gao

China Academy of Launch Vehicle Technology

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