Kalman1D

Struct Kalman1D 

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pub struct Kalman1D { /* private fields */ }
Expand description

Implementation of Discrete Kalman filter for case when there is only on variable X.

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impl Kalman1D

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pub fn new(dt: f32, u: f32, std_dev_a: f32, std_dev_m: f32) -> Self

Creates new Kalman1D

Basic usage:

use kalman_rust::kalman::Kalman1D;
let dt = 0.1; // Single cycle time
let u = 2.0; // Control input
let std_dev_a = 0.25; // Standart deviation of acceleration
let std_dev_m = 1.2; // Standart deviation of measurement
let mut kalman = Kalman1D::new(dt, u, std_dev_a, std_dev_m);
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pub fn predict(&mut self)

Projects the state and the error covariance ahead Mutates the state vector and the error covariance matrix

Basic usage:

use kalman_rust::kalman::Kalman1D;
let dt = 0.1; // Single cycle time
let u = 2.0; // Control input
let std_dev_a = 0.25; // Standart deviation of acceleration
let std_dev_m = 1.2; // Standart deviation of measurement
let mut kalman = Kalman1D::new(dt, u, std_dev_a, std_dev_m);
let measurements = vec![1.0, 2.0, 3.0, 4.0, 5.0];
for x in measurements.iter() {
    // get measurement
    kalman.predict();
    // then do update 
}
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pub fn update(&mut self, _z: f32) -> Result<(), Kalman1DError>

Computes the Kalman gain and then updates the state vector and the error covariance matrix Mutates the state vector and the error covariance matrix.

Basic usage:

use kalman_rust::kalman::Kalman1D;
let dt = 0.1; // Single cycle time
let u = 2.0; // Control input
let std_dev_a = 0.25; // Standart deviation of acceleration
let std_dev_m = 1.2; // Standart deviation of measurement
let mut kalman = Kalman1D::new(dt, u, std_dev_a, std_dev_m);
let measurements = vec![1.0, 2.0, 3.0, 4.0, 5.0];
for x in measurements {
    kalman.predict();
    kalman.update(x).unwrap(); // assuming that there is noise in measurement
}
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pub fn get_state(&self) -> f32

Returns the current state (only X, not Vx)

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pub fn get_vector_state(&self) -> SVector<f32, 2>

Returns the current state (both X and Vx)

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impl Clone for Kalman1D

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fn clone(&self) -> Kalman1D

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for Kalman1D

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> Same for T

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type Output = T

Should always be Self
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impl<SS, SP> SupersetOf<SS> for SP
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fn to_subset(&self) -> Option<SS>

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fn is_in_subset(&self) -> bool

Checks if self is actually part of its subset T (and can be converted to it).
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fn to_subset_unchecked(&self) -> SS

Use with care! Same as self.to_subset but without any property checks. Always succeeds.
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fn from_subset(element: &SS) -> SP

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impl<T> ToOwned for T
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type Owned = T

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fn to_owned(&self) -> T

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impl<T, U> TryFrom<U> for T
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type Error = Infallible

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Performs the conversion.
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impl<T, U> TryInto<U> for T
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type Error = <U as TryFrom<T>>::Error

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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

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