Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
Authors
Y. A. Rouzoumka
E. Terreaux
C. Morisseau
J. -P. Ovarlez
C. Ren
Abstract
We investigate complex-valued Variational AutoEncoders (CVAE) for radar Out-Of-Distribution (OOD) detection in complex radar environments. We proposed several detection metrics: the reconstruction error of CVAE (CVAE-MSE), the latent-based scores (Mahalanobis, Kullback-Leibler divergence (KLD)), and compared their performance against the classical ANMF-Tyler detector (ANMF-FP). The performance of all these detectors is analyzed on synthetic and experimental radar data, showing the advantages and the weaknesses of each detector.
