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name = "UnscentedKalmanFilters" | ||
uuid = "fb6c460f-f05e-49c3-9e45-b6a440335337" | ||
authors = ["Ruben Gonzalez <ruben.carbonbased@gmail.com> and contributors"] | ||
version = "1.0.0-DEV" | ||
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[deps] | ||
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e" | ||
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" | ||
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[compat] | ||
julia = "1" | ||
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[extras] | ||
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40" | ||
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[targets] | ||
test = ["Test"] |
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# UnscentedKalmanFilters | ||
A lightweight implementation of Kalman unscented Kalman filtering with the following features | ||
1. Fallback to linear methods for transition if the state predictor is linear | ||
2. Fallback to linear methods for observations if the state observer is linear | ||
3. Consistent use of the square-root form for improved numerical stability | ||
4. Automatic observation space reduction to remove non-finite observations | ||
5. Optinal multithreading if state transition or observation is computationally intensive |
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module UnscentedKalmanFilters | ||
include(joinpath(@__DIR__, "_StateSpaceModel.jl")) | ||
end |
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