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Conference papers
A constrained hybrid Cramér-Rao bound for parameter estimation
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. Numerous works have shown the versatility of deterministic constrained Cramér-Rao bound for estimation performance analysis and design of a system of measurement. However in many systems both random and non-random parameters may occur simultaneously. In this communication, we propose a constrained hybrid lower bound which take into account of equality constraint on deterministic parameters. The usefulness of the proposed bound is illustrated with an application to radar Doppler estimation.
Cited literature [17 references]
https://hal-centralesupelec.archives-ouvertes.fr/hal-01234924
Contributor : Alexandre Renaux <>
Submitted on : Friday, November 27, 2015 - 2:02:31 PM
Last modification on : Wednesday, December 30, 2020 - 1:08:05 PM
Long-term archiving on: : Friday, April 28, 2017 - 11:27:20 PM
Contributor : Alexandre Renaux <>
Submitted on : Friday, November 27, 2015 - 2:02:31 PM
Last modification on : Wednesday, December 30, 2020 - 1:08:05 PM
Long-term archiving on: : Friday, April 28, 2017 - 11:27:20 PM
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