Wantian et al., 2020 - Google Patents
Parity recognition of blade number and manoeuvre intention classification algorithm of rotor target based on micro-Doppler features using CNNWantian et al., 2020
View PDF- Document ID
- 13198757718354415925
- Author
- Wantian W
- Ziyue T
- Yichang C
- Yongjian S
- Publication year
- Publication venue
- Journal of Systems Engineering and Electronics
External Links
Snippet
This paper proposes a parity recognition of blade number and manoeuvre intention classification algorithm of rotor target based on the convolutional neural network (CNN) using micro Doppler features. Firstly, the time-frequency spectrograms are acquired from the …
- 238000007635 classification algorithm 0 title abstract description 8
Classifications
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- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
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- G—PHYSICS
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- G01S13/347—Systems for measuring distance only using transmission of continuous unmodulated waves, amplitude-, frequency- or phase-modulated waves using transmission of frequency-modulated waves and the received signal, or a signal derived therefrom, being heterodyned with a locally-generated signal related to the contemporaneous transmitted signal to give a beat-frequency signal using more than one modulation frequency
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/02—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
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