Robust direction of arrival estimation approach for unmanned aerial vehicles at low signal‐to‐noise ratios-Reference-Cited by-同舟云学术

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Robust direction of arrival estimation approach for unmanned aerial vehicles at low signal‐to‐noise ratios

Published:2019-06 Issue:4 Volume:13 Page:456-463
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Lu Jian¹^ORCID,Yang Jian¹²,Liu Xinghai¹,Liu Guangbin¹,Zhang Yue³

Affiliation:

1. Rocket Force University of EngineeringXi'an710025People's Republic of China

2. School of Electronic EngineeringXidian UniversityXi'an710071People's Republic of China

3. Science and Technology on Automatic Target Recognition LaboratoryNational University of Defense TechnologyChangsha410073People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2018.5275

Reference30 articles.

1. Logoglu K.‐B. Lezki H. Yucel M.‐K.et al: ‘Feature‐Based efficient moving object detection for Low‐altitude aerial platforms’.2017 IEEE Int. Conf. Computer Vision Workshop. IEEE Comput. Soc. Venice Italy 2017 pp.2119–2128

2. Wu K. Wang K. Liu X.: ‘A mini radar system for low altitude targets detection’.Int. Congress on Image and Signal Processing Biomedical Engineering and Informatics (CISP‐BMEI) Shanghai China 2017 pp.1–5

3. Cyclostationary phase analysis on micro‐Doppler parameters for radar‐based small UAVs detection;Zhao Y.;IEEE, Trans. Instrum. Meas.,2018

4. Review of radar classification and RCS characterisation techniques for small UAVs or drones;Patel J.‐S.;IET Radar Sonar Navig..,2018

5. Harmanny R.I.A. deWit J.J.M. Cabic G.P.: ‘Radar micro‐Doppler feature extraction using the spectrogram and the cepstrogram’.2014 11th European Radar Conf. (EuRAD) Rome Italy October2014 pp.165–168

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