A Constrained Hybrid Cramér-Rao Bound for Parameter Estimation

Ren, C., Le Kernec, J. , Galy, J., Chaumette, E., Larzabal, P. and Renaux, A. (2015) A Constrained Hybrid Cramér-Rao Bound for Parameter Estimation. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, 19-24 Apr 2015, pp. 3472-3476. ISBN 9781467369978 (doi: 10.1109/ICASSP.2015.7178616)

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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.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Le Kernec, Dr Julien
Authors: Ren, C., Le Kernec, J., Galy, J., Chaumette, E., Larzabal, P., and Renaux, A.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Copyright Holders:Copyright © 2015 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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