Bayesian sparse estimation of targets with range-Doppler grid mismatch
| Autor: | Olivier Besson, Stephanie Bidon, Marie Lasserre, François Le Chevalier |
|---|---|
| Přispěvatelé: | Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Delft University of Technology - TU Delft (NETHERLANDS) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Bayesian probability Pattern recognition Probability density function Sparse approximation Grid law.invention symbols.namesake Signal-to-noise ratio law symbols Range (statistics) Traitement du signal et de l'image Range-Doppler map Bayesian sparse recovery Hybrid Gibbs sampling Artificial intelligence Radar business Off-grid target Doppler effect Mathematics |
| Zdroj: | Web of Science |
| Popis: | In this paper, we study the problem of estimating the target scene via a signal sparse representation (SSR) scheme in the range-Doppler domain. As compared to a range-gate by range-gate SSR analysis, this bidimensional approach can take into account targets straddling two range-gates. Here, we propose a robust SSR Bayesian algorithm that considers the well known grid mismatch problem in both the range and Doppler dimensions. Our algorithm implements a bidimensional approach to a previous described algorithm. Numerical simulations are performed with synthetic and experimental data to demonstrate the benefit of estimating the grid mismatch with the proposed technique. |
| Databáze: | OpenAIRE |
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