ICASSP 2026poster0 citations
LATENT-SPACE METRICS FOR COMPLEX-VALUED VAE OUT-OF-DISTRIBUTION DETECTION UNDER RADAR CLUTTER
Yadang Alexis Rouzoumka, Eugénie Terreaux, Jean-Philippe Ovarlez, Chengfang 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.
BibTeX
@inproceedings{icassp2026_latentspacemetri,
title = {LATENT-SPACE METRICS FOR COMPLEX-VALUED VAE OUT-OF-DISTRIBUTION DETECTION UNDER RADAR CLUTTER},
author = {Yadang Alexis Rouzoumka and Eugénie Terreaux and Jean-Philippe Ovarlez and Chengfang Ren},
booktitle = {ICASSP 2026},
year = {2026}
}