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- Title
基于多尺度残差网络和小波变换的LPI 雷达信号识别.
- Authors
刘 赢; 田润澜; 董会旭
- Abstract
For the problem of low probability of intercept(LPI) radar signal recognition in complex battlefield electromagnetic environment,a recognition method based on wavelet transform and multi-scale residual network is proposed. Firstly,the time-frequency characteristics of LPI radar signals are extracted by discrete wavelet transform,and then the multi-level feature extraction of multi-scale residual network is used to deeply autonomously learn the input signals to obtain the distributed characteristics of the original signal data,thus realizing the recognition and prediction of radar signal. Experiments on different modulation modes in different signal-to-noise ratio conditions verify the feasibility and effectiveness of the proposed method,as well as a high recognition rate and generalization ability.
- Subjects
WAVELET transforms; SIGNAL-to-noise ratio; FEATURE extraction; TIME-frequency analysis; RADAR; DISCRETE wavelet transforms; HILBERT-Huang transform
- Publication
Telecommunication Engineering, 2019, Vol 59, Issue 12, p1423
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2019.12.009