Development of a hybrid estimation toolbox for rapid prototyping

被引：0
作者：
Bashi, AS [1 ]
Li, XR [1 ]
机构：
[1] Univ New Orleans, Dept Elect Engn, Informat & Syst Lab, New Orleans, LA 70148 USA
来源：
SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2003 | 2003年 / 5204卷
关键词：
multiple model estimation; hybrid estimation; target tracking; estimation toolbox; modelling toolbox;
D O I：
10.1117/12.511165
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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(TM) that illustrate some of the benefits that such a toolbox can bring to researchers.
引用
收藏
页码：620 / 629
页数：10
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