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Geometry and observability of latent texture-coherence diffusions in coherent sea-clutter radar observations

Abstract

A coherent radar observes sea clutter through a non-injective multiplicative combination of latent texture and coherence variables. We study a class of partially observed slow--fast diffusions for which the projected quadratic covariance has the form Q=S+qyy⊤, using Field's sea-clutter diffusion as a solvable benchmark. For fixed-shape fast covariance, we derive an exact generalized spectral-gap criterion for recovery of the latent slow coordinate and a stability bound. When the fast covariance changes shape, we obtain an invariant scale--shape decomposition and exact conditions for reinforcement or cancellation of the latent quadratic signature. We then quantify the loss of resolvability caused by finite sampling and receiver noise. Controlled CIR--OU simulations verify the analytic identities and exhibit regimes in which structural observability does not yield stable reconstruction.

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BibTeX
@misc{coatanhay2026geometry,
  title = {{Geometry and observability of latent texture-coherence diffusions in coherent sea-clutter radar observations}},
  author = {Arnaud Coatanhay and Angélique Drémeau},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.27587},
  eprint = {2609.27587},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.27587},
}
RIS
TY  - UNPB
TI  - Geometry and observability of latent texture-coherence diffusions in coherent sea-clutter radar observations
AU  - Arnaud Coatanhay
AU  - Angélique Drémeau
PY  - 2026
DA  - 2026/09/23
PB  - arXiv
DO  - 10.48550/arxiv.2609.27587
UR  - https://arxiv.org/abs/2609.27587
AB  - A coherent radar observes sea clutter through a non-injective multiplicative combination of latent texture and coherence variables. We study a class of partially observed slow--fast diffusions for which the projected quadratic covariance has the form Q=S+qyy^⊤, using Field's sea-clutter diffusion as a solvable benchmark. For fixed-shape fast covariance, we derive an exact generalized spectral-gap criterion for recovery of the latent slow coordinate and a stability bound. When the fast covariance changes shape, we obtain an invariant scale--shape decomposition and exact conditions for reinforcement or cancellation of the latent quadratic signature. We then quantify the loss of resolvability caused by finite sampling and receiver noise. Controlled CIR--OU simulations verify the analytic identities and exhibit regimes in which structural observability does not yield stable reconstruction.
ER  -