scholarly journals Application of S-Transform Random Consistency in Inverse Synthetic Aperture Imaging Laser Radar Imaging

2019 ◽  
Vol 9 (11) ◽  
pp. 2313
Author(s):  
Bo Zang ◽  
Mingzhe Zhu ◽  
Xianda Zhou ◽  
Lu Zhong ◽  
Zijiao Tian
Keyword(s):  
Feature Extraction ◽  
Rigid Body ◽  
Wave Length ◽  
Radar Imaging ◽  
Synthetic Aperture ◽  
Laser Radar ◽  
Synthetic Aperture Imaging ◽  
Doppler Image ◽  
S Transform ◽  
Random Sample Consensus

Under the same principle, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length, as the characteristic of multi-resolution, S transform could reduce the influence of the micro-Doppler component and enhance the imaging effect. This paper presents a method for micro-Doppler feature extraction in Inverse Synthetic Aperture Imaging Laser Radar (ISAIL) imaging. It is accessible and comprehensive, applying Random Sample Consensus (RANSAC) for the separation and reconstruction of micro-Doppler and rigid body signals. Experiments show that the method can effectively remove the micro-Doppler information and obtain a clear target distance-instantaneous Doppler image.

scholarly journals Micro-Doppler Feature Extraction of Inverse Synthetic Aperture Imaging Laser Radar Using Singular-Spectrum Analysis

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3303 ◽  
Author(s):  
Mingzhe Zhu ◽  
Xianda Zhou ◽  
Bo Zang ◽  
Baisheng Yang ◽  
Mengdao Xing
Keyword(s):  
Feature Extraction ◽  
Spectrum Analysis ◽  
Singular Spectrum Analysis ◽  
Synthetic Aperture ◽  
Laser Radar ◽  
Minimum Entropy ◽  
Synthetic Aperture Imaging ◽  
Singular Spectrum ◽  
Microwave Radar ◽  
Computation Efficiency

Different from microwave radar, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length. This limits the application of conventional methods, such as time–frequency based approach, since the processing needs a receiver with much higher sampling frequency than microwave radar. In this paper, a micro-Doppler feature extraction algorithm is proposed for the inverse synthetic aperture imaging laser radar (ISAIL). Singular-spectrum analysis (SSA) is employed for separation and reconstruction of the micro-Doppler and rigid body signal. Clear ISAIL image is obtained by minimum entropy criteria after echo signal decomposition. After theoretical derivation, the computation efficiency and ability of the proposed method is proved by the results of simulation and real data of An-26.

Synthetic-aperture imaging laser radar: laboratory demonstration and signal processing

2005 ◽  
Vol 44 (35) ◽  
pp. 7621 ◽  
Author(s):  
Steven M. Beck ◽  
Joseph R. Buck ◽  
Walter F. Buell ◽  
Richard P. Dickinson ◽  
David A. Kozlowski ◽  
...  
Keyword(s):  
Signal Processing ◽  
Synthetic Aperture ◽  
Laser Radar ◽  
Synthetic Aperture Imaging

Golay Coded Sequences in Synthetic Aperture Imaging Systems

2011 ◽  
Vol 36 (4) ◽  
Author(s):  
Ihor Trots ◽  
Yuriy Tasinkevych ◽  
Andrzej Nowicki ◽  
Marcin Lewandowski
Keyword(s):  
Imaging Systems ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging
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