Research Article
A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models
Table 2
Recognition results of different networks (%).
| SNR (dB) | ResNet152 | SENet152 | SKNet152 | VGG13 | VGG16 | VGG19 | HRF-Net157 |
| −14 | 95.082 | 95.253 | 95.535 | 89.268 | 90.366 | 90.851 | 97.500 | −12 | 96.374 | 96.862 | 97.134 | 91.423 | 93.514 | 93.735 | 98.056 | −10 | 97.746 | 98.254 | 98.481 | 93.526 | 94.316 | 95.242 | 98.611 | −8 | 98.356 | 98.426 | 98.768 | 95.628 | 96.211 | 97.522 | 99.167 | −6 | 99.161 | 99.287 | 99.442 | 98.254 | 98.856 | 99.082 | 99.583 | −4 | 100 | 100 | 100 | 99.142 | 99.627 | 99.855 | 100 | −2 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 2 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 4 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
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