Least-Square estimation for nonlinear systems with applications to phase and envelope estimation in wireless fading channels
Date
2008ISBN
978-1-4244-3124-3Source
Proceedings of the IEEE Conference on Decision and ControlProceedings of the IEEE Conference on Decision and Control
Pages
4928-4932Google Scholar check
Keyword(s):
Metadata
Show full item recordAbstract
This paper addresses the problem of nonlinear Least-Square estimation. A new approach is presented which employees a change of probability measure technique to derive recursive equations for conditional means of nonlinear problems. The theory developed is applied to multipath fading wireless channels to derive phase and envelope estimates. Furthermore, some numerical results are presented in order to evaluate the performance of these estimators. © 2008 IEEE.
Collections
Cite as
Related items
Showing items related by title, author, creator and subject.
-
Article
Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
Zhang, X.; Polycarpou, Marios M.; Parisini, T. (2010)
-
Conference Object
Nonstationary analysis of cerebral hemodynamics using recursively estimated multiple-input nonlinear models
Markou, M. M.; Poulin, M. J.; Mitsis, Georgios D. (2011)
-
Conference Object
Action functional stochastic H∞ estimation for nonlinear discrete time systems
Charalambous, Charalambos D.; Farhadi, A.; Djouadi, S. M. (2002)This paper presents an action functional, sample path optimization technique, for formulating and solving nonlinear discrete-time stochastic H∞ estimation problems. These H∞ problems are formulated as minimax dynamic games ...