ADCS.satellite_hardware.errors.noise module

class ADCS.satellite_hardware.errors.noise.Noise(noise=array([0.]), std_noise=array([0.]), bounds=(array([-inf]), array([inf])))

Bases: object

Represents additive actuator noise with optional Gaussian randomness and bounds.

Parameters:

• noise (float, optional) – Mean or nominal noise offset \(n_0\) (default 0).

• std_noise (float, optional) – Standard deviation \(\sigma_n\) of the Gaussian perturbation (default 0).

• bounds ((float, float), optional) – Lower and upper limits \([n_{\min}, n_{\max}]\) applied after sampling.

broadcast_to(length, *, owner='sensor')

Return this model sized for a length-output sensor.

A scalar model is repeated per axis, a model that already has length entries is copied, and any other size is a configuration error reported here, where the owning sensor is known, instead of surfacing later as a covariance-shape error inside the filter. Subclasses with their own parameterisation are copied untouched.

Parameters:

• length (int)

• owner (str)

Return type:

Noise

copy()

cov()

Return type:

ndarray

covariance(*, form='full', coordinates='generic')

Return this noise model’s owned covariance object.

Parameters:

• form (str)

• coordinates (str)

Return type:

Covariance

get_noise()

Return a fresh bounded Gaussian noise sample.

Returns:

The updated noise value \(n\) after random sampling and clipping.

Return type:

float

srcov()

Return type:

float | ndarray