Résumé
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.