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INTERACTING MULTIPLE MODEL METHODS IN MULTITARGET MULTISENSOR
 

Summary: INTERACTING MULTIPLE MODEL METHODS
IN MULTITARGET ­ MULTISENSOR
TRACKING:
SURVEY
E. Mazor x A. Averbuch y Y. Bar­Shalom z J. Dayan x
x Department of Mechanical Engineering
Technion, Israel Institute of Technology
Haifa 32000, Israel
y School of Mathematical Sciences
Tel Aviv University, Tel Aviv 69978, Israel
z Department of Electrical and Systems Engineering
University of Connecticut
Storrs, Connecticut, USA
Abstract
The Interacting Multiple Model (IMM) estimator is a suboptimal hybrid filter that
has been shown to be one of the most cost­effective hybrid state estimation schemes.
The importance of this approach is that it is the best compromise available currently
between complexity and performance: its computational requirements are linear in the
size of the problem (number of models) while its performance is almost the same as
that of an algorithm with quadratic complexity.

  

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

 

Collections: Computer Technologies and Information Sciences