Recursive hybrid Cramer-Rao bound for discrete-time Markovian dynamic systems
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. As a contribution to the hybrid estimation framework, we introduce a recursive hybrid Cramér Rao lower bounds for discrete-time Markovian dynamic systems depending on unknown determinis-tic parameters. Additionnally, the regularity conditions required for its existence and its use are clarified.
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