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RESEARCH PAPERS

Multidimensional State Estimation With Multiple Composite Hypothesis Testing in the Presence of Interference

[+] Author and Article Information
K. Demirbas

Department of Electrical Engineering and Computer Science (M/C 154), University of Illinois at Chicago, Chicago, Ill. 60680

J. Dyn. Sys., Meas., Control 110(3), 297-302 (Sep 01, 1988) (6 pages) doi:10.1115/1.3152685 History: Received January 19, 1987; Online July 21, 2009

Abstract

A new state estimation scheme is presented for multidimensional dynamic systems with arbitrary independent interference and noises, and is based upon quantization, multiple composite hypothesis testing, and a suboptimum decoding technique of Information Theory. The estimation of the state vector is sequentially done, component-by-component, in parallel and in blocks. “Component-by-component” estimation results in a considerable memory reduction for the implementation of the scheme, while estimation is blocks makes the implementation independent of time. Simulation results, some of which are presented, have shown that the new scheme performs well, whereas the classical estimation techniques are not, in general, applicable to the state estimation problem in the presence of arbitrary interference.

Copyright © 1988 by ASME
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