6. MeasurementDataSet

class MeasurementDataSet(set_name: str, measurements: list, names: list[str], instrument: Instrument, target: Body, epochs: EpochArray, measurement_type: str = None, station_two: GroundStation = None)

Bases: object

Groups together measurement data from different measurement models. Used by the active filter.

Generates a list of packaged data from a given measurement. At each epoch at which the filter has a valid measurement, provides access to its computed and observed value, residual, numerical value of the partial, and the standard deviation of the measurement.

Parameters:

• set_name (str) – The name of the dataset.

• measurements (list) – list with AWU, np.array, and lists of measurements data (e.g. observed, computed, residuals, partials, sigmas)

• names (list[str]) – List of values in the measurement list ([“computed”, “observed”, “residuals”, “partials”, “sigma”])

• instrument (Instrument) – Instrument used to generate these measurements (e.g. antenna, camera, etc.)

• target (Body) – Target body of the measurement model.

• epochs (EpochArray) – Epochs of the measurements

• measurement_type (str, optional) –

  The type of measurements. Can be given as:

  • range

  • range real

  • rangerate

  • doppler

  • doppler real

  • opnav

  • dor

  Defaults to None.

• station_two (GroundStation optional) – Optional Ground station object for three-way and DOR measurements. Defaults to None.

See also

scb.Measurement

Attributes

data	The types of the measurement values (e.g. observed, computed, residuals, partials, sigmas).
epochs	The epochs linked to the measurements.
instrument	The instrument that generated the measurements.
measurement_type	The measurement types.
set_name	The name of the dataset.
station_two	The second ground station, for three-ways and DOR measurement types.
target	DESC

Methods

add_data(data, name)

Adds data to an axisting dataset .

add_data(data: list, name: str)

Adds data to an axisting dataset .

Parameters:

• data (list) – Extra data to add to an existing MeasurementDataset object.

• name (str) – The name of the dataset.

property data: list[str]

The types of the measurement values (e.g. observed, computed, residuals, partials, sigmas).

property epochs: EpochArray

The epochs linked to the measurements.

property instrument: Instrument

The instrument that generated the measurements.

property measurement_type

The measurement types.

property set_name: str

The name of the dataset.

property station_two: GroundStation

The second ground station, for three-ways and DOR measurement types.

property target

DESC