Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter

• URL: http://arxiv.org/abs/2511.19805v1
• Date: Tue, 25 Nov 2025 00:20:04 GMT
• Title: 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 summary: We investigate complex-valued Variational AutoEncoders (CVAE) for radar Out-Of-Distribution (OOD) detection in complex radar environments.<n>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)<n>The performance of all these detectors is analyzed on synthetic and experimental radar data, showing the advantages and the weaknesses of each detector.
• Score: 1.0439136407307046
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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