Research Article
Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals
Table 3
Performance metrics for the seven methods (test set with two multipath signals).
| Method | NLFM BPSK (NB) | NLFM QPSK (NQ) | BPSK QPSK (BQ) | P | R | F1 | P | R | F1 | P | R | F1 |
| CCF | 0.680 | 1.000 | 0.809 | 0.672 | 1.000 | 0.804 | 0.698 | 1.000 | 0.822 | SC | 0.586 | 1.000 | 0.739 | 0.672 | 1.000 | 0.804 | 0.592 | 1.000 | 0.744 | WRFCCF | 0.672 | 0.907 | 0.772 | 0.637 | 0.952 | 0.763 | 0.663 | 0.910 | 0.767 | AnoGAN | 0.507 | 0.990 | 0.671 | 0.518 | 0.995 | 0.681 | 0.542 | 0.985 | 0.699 | EGBAD | 0.558 | 0.987 | 0.712 | 0.579 | 0.990 | 0.731 | 0.591 | 0.985 | 0.739 | GANomaly | 0.684 | 0.632 | 0.655 | 0.657 | 0.953 | 0.777 | 0.980 | 0.514 | 0.674 | DADA | 0.745 | 0.992 | 0.851 | 0.905 | 0.937 | 0.921 | 0.800 | 0.910 | 0.851 |
|
|