HRRP radar target identification method based on CN-LSGAN, STFT and CNN
The invention discloses an HRRP radar target identification method based on a constrained naive least squares generative adversarial network (CN-LSGAN), a short-time Fourier transform (STFT) and a convolutional neural network (CNN). The method comprises the following steps that S1, the CN-LSGAN is u...
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| creator | HUANG LIZHEN NIE JIANGHUA LIU YUE XIAO YONGSHENG RAO XUAN LIU YUFAN QIU XIN HE FENGSHOU |
| description | The invention discloses an HRRP radar target identification method based on a constrained naive least squares generative adversarial network (CN-LSGAN), a short-time Fourier transform (STFT) and a convolutional neural network (CNN). The method comprises the following steps that S1, the CN-LSGAN is used for denoising HRRP data, the network is combined with the characteristics of a least squares generative adversarial network (LSGAN) and Wasserstein generative adversarial nets-gradient penalty (WGAN-GP), and the noisy HRRP data pass through the CN-LSGAN to generate data similar to clean HRRP data to realize data enhancement; S2, time-frequency analysis is carried out on the HRRP data by adopting STFT, and frequency domain and phase features of a target are introduced so as to facilitate feature learning; and S3, target identification is carried out on the data obtained by the time-frequency analysis through the CNN.
本发明专利公开了提出了一种基于约束朴素最小二乘生成对抗网络(Constrained Naive Least Squares Generative Adversarial Network，CN- |
| format | Patent |
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本发明专利公开了提出了一种基于约束朴素最小二乘生成对抗网络(Constrained Naive Least Squares Generative Adversarial Network，CN-</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING |
| title | HRRP radar target identification method based on CN-LSGAN, STFT and CNN |
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