Borné de Cramér-Rao sous contraintes pour l’estimation simultanée de paramètres aléatoires et non aléatoires

Ren, C., Le Kernec, J. , Galy, J., Chaumette, É., Larzabal, P. and Reneaux, A. (2015) Borné de Cramér-Rao sous contraintes pour l’estimation simultanée de paramètres aléatoires et non aléatoires. GRETSI, Lyon, France, Sept. 2015.

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Abstract

In statistical signal processing, hybrid parameter estimation refers to the case where the parameters vector to estimate contains both non-random and random parameters. On the other hand, numerous works have shown the versatility of deterministic constrained Cramér-Rao bound for estimation performance analysis and design of a system of measurement. In this communication, we propose a constrained hybrid lower bound which takes into account equality constraints on deterministic parameters. The proposed bound is then compared to previous bounds of the literature. Finally, the usefulness of the proposed bound is illustrated with an application to radar Doppler estimation.

Item Type:Conference or Workshop Item
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Le Kernec, Dr Julien
Authors: Ren, C., Le Kernec, J., Galy, J., Chaumette, É., Larzabal, P., and Reneaux, A.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Publisher Policy:Reproduced in accordance with HAL policy

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