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Kalman Filtering Toolbox Features
Due to
the fact that this software tool is primarily addressed to a practicing
engineer, effort was made to implement the most efficient algorithms available
in the technical literature. Both discrete conventional and U-D form Kalman
filter formulations are included. When appropriate, more than one module
performs the same mathematical computation by using different methods, so you
can select the approach that best meets your specific requirements.
The
MATLAB ® Kalman Filtering Software Toolbox contains numerous main programs that
can be modified to fit specific application needs. Once the model of the
application is derived or selected, the practitioner can use the software
library to implement and test the validity of the proposed Kalman filtering application.
Here
is a summary of the most significant features of M-KFToolbox software:
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all m-file modules and programs are written in MATLAB language/environment
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all m-file modules are free of input/output statements (except, of course,
for those utilities that require printed output/graph, if any)
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all m-file modules are provided with detailed documentation, including
scope, usage, description of parameters, remarks/notes, references, external
MATLAB macros/ modules used, and date of last update
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all m-file main programs are provided with
detailed documentation,
including scope, usage, list of inputs, list of outputs,
references,
external MATLAB modules used, and date of last update
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all main programs are provided with input/output reference data, and
several detailed examples are given
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flexibility, user-friendly, and open-ended strategy. An open-ended strategy
was followed which means that the user can either complement the M-KFToolbox
services with his own functions or, alternatively, use M-KFToolbox functions
as add-ons in conjunction with other libraries.
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