Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals

Algorithm 1

DADA.

Train Set: Normal radar signal dataset, transformed using SPWVD.

1: for a set number of training iterations

2:  Minimize the reconstruction loss in Equation (7) to align with x.

3:  Minimize the feature similarity loss in Equation (8) to reduce the latent representation differences between x and .

4: End for

5: Construct a two-dimensional feature space from R(X) and L(V) using Equations (9) and (10).

6: Employ one-class SVM to learn the decision boundary for normal samples.