Paper
5 January 2004 Development of a hybrid estimation toolbox for rapid prototyping
Author Affiliations +
Abstract
The authors have developed a toolbox for hybrid estimator evaluation which allows rapid comparison of algorithms in different scenarios. The toolbox is flexible in implementing, simulating, and evaluating various algorithms, particularly those for hybrid estimation - state estimation under parametrical and/or structural uncertainties. While the toolbox is extensible, numerous models, filters, estimators, and error measures are provided by default. In this paper, examples are given of short programs written in Matlab that illustrate some of the benefits that such a toolbox can bring to researchers.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anwer S. Bashi and X. Rong Li "Development of a hybrid estimation toolbox for rapid prototyping", Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); https://doi.org/10.1117/12.511165
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KEYWORDS
Data modeling

Statistical modeling

Error analysis

Monte Carlo methods

Performance modeling

3D modeling

Filtering (signal processing)

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