BSBL‐based multiband fusion ISAR imaging-Reference-Cited by-同舟云学术

BSBL‐based multiband fusion ISAR imaging

Published:2019-07-30 Issue:19 Volume:2019 Page:6039-6042
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Xiong Di¹²,Wang Junling¹,Zhao Lizhi³,Gao Meiguo¹

Affiliation:

1. School of Information and Electronics, Beijing Institute of technologyBeijingPeople's Republic of China

2. Science and Technology on Metrology and Calibration LaboratoryBeijing Institute of Radio Metrology and MeasurementBeijing 100854People's Republic of China

3. School of Information Engineering, Minzu University of ChinaBeijingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0369

Reference11 articles.

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2. Multiband radar signal coherent fusion processing with IAA and apFFT;Tian J.;IEEE Signal Process. Lett.,2013

3. Sparse subband fusion imaging based on parameter estimation of geometrical theory of diffraction model;Tian B.;Radar Sonar Navig. Lett.,2013

4. State‐space spectral estimation of characteristic electromagnetic responses in wideband data;Naishadham K.;IEEE Antennas Wirel. Propag. Lett.,2005

5. Compressive sensing based ISAR imaging via the combination of the sparsity and nonlocal total variation;Zhang X.;IEEE Geosci. Remote Sens. Lett.,2014

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