Alice Delmer — accepted AI-conference papers

2025

Whitening Effects for ML-DoA Estimation using a Sparse Representation of Array Covariance

Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal

ICASSP 2025accepted

Maximum Likelihood (ML) Direction-of-Arrival (DoA) estimation on the Vectorized Covariance Matrix Model (VCMM) exhibits improved performance in severe conditions compared to standard methods. Indeed, it benefits from the VCMM capacities summarized through the Virtual Array (VA) concept. Due to finit…

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2020

On Regularization Parameter for L0-Sparse Covariance Fitting Based DOA Estimation

Alice Delmer, Anne Ferréol, Pascal Larzabal

ICASSP 2020accepted

In sparse DOA estimation methods, the regularization parameter λ is generally empirically tuned. In this paper, we provide a statistical method allowing to estimate an admissible interval where λ must be chosen. This work is conducted in the case of an Uniform Circular Array, well known for its θ in…

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