Semi-supervised Learning for Automatic Modulation Recognition Using Haar Time–Frequency Mask and Positional–Spatial Attention

Algorithm 1

The Training Procedure of HTF-PSA-SSL.

Require:: student model with trainable parameters

Require:: teacher model with parameters equal to moving average of

Require:: labeled samples set

Require:: unlabeled samples set

Require:: learning rate of student model

Require:: rate of moving average

Require:: weight of unlabeled loss

Require:: Gaussian ramp–up curve function

Require:: batch size of labeled data

Require:: batch size of unlabeled data

Require:.

 1: for t = do

 2: Sample

 3: Calculate via Equation (8).

 4: Sample ,

 5: Generate pseudo label ,

 6:

 7: Calculate via Equation (10).

 8:

 9: Calculate via Equation (14).

 10:

 11:

 12:

 13:

 14: end for

 15: return,