Virtual Adversarial Training-Based Semisupervised Specific Emitter Identification

Algorithm 1

Semisupervised SEI based on VAT.

Required:

: signal data, including labelled data and unlabelled data

: labels corresponding to the labelled signal data

: number of training iterations

: regularization coefficients of (virtual) adversarial training

: supervised loss function of network model

: loss function of adversarial training

: full loss function of adversarial training

: loss function of virtual adversarial training

: full loss function of virtual adversarial training

: parameters of network model

: learning rate

: the upper limit of the perturbation weighting coefficient

: the lower limit of the perturbation weighting coefficient

: number of iterations of the perturbation weighting coefficient

1. for to do

2.

3. do

4.

5.

6.

7.

8. while.

9. end while

10., .

11. Initialize , , and

12.

13.

14.

15. end for

16. for to do

17.

18.

19.

20.

21. end for