Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866911399325728768 |
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| author | Feng, Chuhan Li, Jing Li, Jie Lv, Lu Gong, Fengkui |
| author_facet | Feng, Chuhan Li, Jing Li, Jie Lv, Lu Gong, Fengkui |
| contents | We propose a drone signal out-of-distribution (OOD) detection algorithm based on discriminability-driven spatial-channel selection with a gradient norm. Time-frequency image features are adaptively weighted along both spatial and channel dimensions by quantifying inter-class similarity and variance based on protocol-specific time-frequency characteristics. Subsequently, a gradient-norm metric is introduced to measure perturbation sensitivity for capturing the inherent instability of OOD samples, which is then fused with energy-based scores for joint inference. Simulation results demonstrate that the proposed algorithm provides superior discriminative power and robust performance via SNR and various drone types. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18329 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection Feng, Chuhan Li, Jing Li, Jie Lv, Lu Gong, Fengkui Machine Learning We propose a drone signal out-of-distribution (OOD) detection algorithm based on discriminability-driven spatial-channel selection with a gradient norm. Time-frequency image features are adaptively weighted along both spatial and channel dimensions by quantifying inter-class similarity and variance based on protocol-specific time-frequency characteristics. Subsequently, a gradient-norm metric is introduced to measure perturbation sensitivity for capturing the inherent instability of OOD samples, which is then fused with energy-based scores for joint inference. Simulation results demonstrate that the proposed algorithm provides superior discriminative power and robust performance via SNR and various drone types. |
| title | Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2601.18329 |