| Paper: | ITT-L2.1 | ||
| Session: | Defense Applications | ||
| Time: | Friday, May 21, 09:30 - 09:50 | ||
| Presentation: | Lecture | ||
| Topic: | Industry Technology Track: Decluttering Target Identification and Tracking | ||
| Title: | REGULARIZED DOPPLER RADAR IMAGING FOR TARGET IDENTIFICATION IN ATMOSPHERIC CLUTTER | ||
| Authors: | Philippe Ciuciu; Commissariat à l'Énergie Atomique | ||
| Jérôme Idier; CNRS | |||
| Abstract: | We develop a method for the formation of Doppler radar images with enhanced features. This problem, when studied as an adaptive spectral estimation problem, is particularly ill-posed because of the small number of data. Our approach is based on a regularized estimation of depth-frequency images which combines a high-resolution Fourier model of the observations with prior information about the nature of the features of interest. We first derive an appropriate model and a regularized criterion for meteorological clutter restoration before addressing the extension to the identification of spot-like targets superimposed to this clutter. We also adapt quasi-Newton algorithms based on Half-Quadratic regularization [1,2] for the computation of the solution. The practical interest of our approach is validated on simulated and real data. | ||
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