Communication Dans Un Congrès Année : 2026

Cramér-Rao Bounds on Sparse-Diffuse Channel Estimation

Résumé

An improved bound on the performance of a hybrid sparsediffuse atomic norm channel estimator is provided. The Hybrid Atomic-Least-Squares (HALS) algorithm was designed to jointly estimate the sparse and diffuse components with a combined atomic and ℓ 2 regularization for a mixed channel model. The improved Cramér-Rao Bound analysis focuses on the estimation of the channel parameters, resulting in a bound on the aggregate channel. Numerical results via simulations on synthetic data validate the efficacy of the proposed method and show the improved predictive ability of the new CRB analysis for the performance of HALS.

Fichier principal
Vignette du fichier
CRB_Sparse-Diffuse.pdf (780.5 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-05287395 , version 1 (29-09-2025)
hal-05287395 , version 2 (01-05-2026)

Licence

Identifiants

Citer

Lei Lyu, Maxime Ferreira da Costa, Urbashi Mitra. Cramér-Rao Bounds on Sparse-Diffuse Channel Estimation. 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2026, Barcelona, France. pp.21526-21530, ⟨10.1109/ICASSP55912.2026.11463562⟩. ⟨hal-05287395v1⟩
140 Consultations
190 Téléchargements

Altmetric

Partager

  • More