Radar HRRP recognition based on CNN-Reference-Cited by-同舟云学术

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Radar HRRP recognition based on CNN

Published:2019-09-23 Issue:21 Volume:2019 Page:7766-7769
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Song Jia¹²,Wang Yanhua¹²,Chen Wei¹²,Li Yang¹²,Wang Junfu³

Affiliation:

1. Radar Research LaboratorySchool of Information and ElectronicsBeijing Institute of TechnologyBeijingPeople's Republic of China

2. Beijing Key Laboratory of Embedded Real‐time Information Processing TechnologyBeijing Institute of TechnologyBeijingPeople's Republic of China

3. Beijing Racobit Electronic Information Technology Co., Ltd.BeijingPeople'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.2019.0725

Reference14 articles.

1. Options for continuous radar earth observations;Monti Guarnieri A.;Sci. China Inf. Sci.,2017

2. WangG.Y. XieJ.L.: ‘Radar high resolution range profile target recognition based on T‐mixture model’ IEEE Radar Conf. (RADAR) Kansas City MO USA May 2011 pp.762–767

3. WangS.X. LiJ.B. WangY.H.et al.: ‘Radar HRRP target recognition based on gradient boosting decision tree’.Ninth Int. Congress on Image and Signal Processing Datong China October 2016 pp.1013–1017

4. Radar HRRP target recognition based on higher order Spectra;Du L.;IEEE Trans. Signal Process.,2005

5. Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP;Liu J.;Electron. Lett.,2016

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