Adaptive grid OMP technique for the detection of low reflectivity moving objects in the presence of Doppler ambiguities
| Autor: | Olivier Rabaste Onera, Guy Desodt, And Rami Kassab, Laurent Ferro-Famil, Linda Aouchiche |
|---|---|
| Přispěvatelé: | Thales Air Systems, THALES [France], Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), ONERA - The French Aerospace Lab [Châtillon], ONERA-Université Paris Saclay (COmUE), Thales Group [France], Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Nantes Université (NU)-Université de Rennes 1 (UR1) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Doppler radar Approximation algorithm Grid Matching pursuit law.invention Compressed sensing Signal-to-noise ratio [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing law Computer vision Artificial intelligence Radar business Cramér–Rao bound [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ComputingMilieux_MISCELLANEOUS Mathematics |
| Zdroj: | Radar Conference (Radar), 2014 IEEE International Radar Conference (Radar), 2014 IEEE International, Oct 2014, Lille, France |
| Popis: | This paper proposes an efficient method for locating multiple off grid targets, whose responses lies in a high-dimensional space, in the presence of Doppler ambiguities. The detection and localization method is based on Orthogonal Matching Pursuit (OMP), a sparse linear decomposition technique for solving Compressed Sensing (CS) problems, combined with a gradient algorithm that adapts the grid to arbitrary positions. OMP algorithm is designed to find an approximation of a sparse signal discretized through determined positions, whereas, in practice, targets can be located anywhere within a continuous domain. The proposed method allows to recover the correct positions and amplitudes of targets located at off grid positions. The application of the proposed algorithm to ambiguous multi-burst radar signal demonstrates its efficiency for solving ambiguities. Numerical simulations show that this method reaches performance close to Cramer Rao bound for a wide range of signal-to-noise ratios. |
| Databáze: | OpenAIRE |
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