NDLI: Simultaneous numerical optimization for data association and parameter estimation

Content Provider	IEEE Xplore Digital Library
Author	Damle, Anil Pao, Lucy
Copyright Year	2011
Description	Author affiliation: Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, 80309 USA (Damle, Anil; Pao, Lucy)
Abstract	In some tracking environments, there is no clear linkage of measurements to objects, requiring data association algorithms to associate measurements to target tracks. Further complicating the problem is that targets can operate in different modes and hence have time-varying dynamics. It has recently been shown that treating the potential measurement data for an object as a single continuous signal, that contains impulses when the measurement data jumps to a new object, allows the data association problem to be cast as a trajectory optimization problem. This optimization problem can also be expanded to formulate estimates for dynamic parameters of the objects being measured. The contribution of the current paper is the development of a numerical optimization algorithm that allows the recently developed impulse-based data association and parameter estimation methods to be easily applied without a significant amount of scenario-specific analytical calculations.
Starting Page	7800
Ending Page	7805
File Size	346581
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160855
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Switches Noise Trajectory Noise measurement Parameter estimation Time measurement
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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