Micro‐Doppler of helicopter with different blade shapes
Author:
Affiliation:
1. National Laboratory of Radar Signal ProcessingXidian UniversityXi'an710071People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2018.5390
Reference6 articles.
1. Micro‐Doppler effect in radar phenomenon model and simulation study;Chen V.C.;Trans. Electron Syst.,2006
2. Two helicopter classification methods with a high pulse repetition frequency radar;Zuo L.;Radar Sonar Navig.,2013
3. Micro‐Doppler mini‐UAV classification using empirical‐mode decomposition features;Oh B.;Geosci. Remote Sens. Lett.,2018
4. Multi‐aspect micro‐Doppler signatures for attitude‐independent L/N quotient estimation and its application to helicopter classification;Zhang R.;Radar Sonar Navig.,2017
5. Classification of free rigid targets with micro‐motions using inertial characteristic from radar signatures
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1. Clutter Suppression and Rotor Blade Feature Extraction of a Helicopter Based on Time–Frequency Flash Shifts in a Passive Bistatic Radar;Atmosphere;2022-08-01
2. Micro-Doppler Signature Based Helicopter Identification and Classification Through Machine Learning;International Journal of Computers;2021-03-22
3. Hardware-in-the-Loop simulation algorithm for helicopter rotor time-varying echo signals;Systems Science & Control Engineering;2021-01-01
4. Extraction of Doppler signature of micro‐to‐macro rotations/motions using continuous wave radar‐assisted measurement system;IET Science, Measurement & Technology;2020-09
5. An automatic radar based aerial target recognition framework;Journal of Interdisciplinary Mathematics;2020-02-17
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