Struct InterlinkTxSpacecraft 

pub struct InterlinkTxSpacecraft {
    pub traj: Trajectory,
    pub measurement_types: IndexSet<MeasurementType>,
    pub integration_time: Option<Duration>,
    pub timestamp_noise_s: Option<StochasticNoise>,
    pub stochastic_noises: Option<IndexMap<MeasurementType, StochasticNoise>>,
    pub ab_corr: Option<Aberration>,
}

Fields

traj: Trajectory

Trajectory of the transmitter spacercaft

measurement_types: IndexSet<MeasurementType>

Measurement types supported by the link

integration_time: Option<Duration>

Integration time used to generate the measurement.

timestamp_noise_s: Option<StochasticNoise>

stochastic_noises: Option<IndexMap<MeasurementType, StochasticNoise>>

ab_corr: Option<Aberration>

Aberration correction used in the interlink

Implementations

impl InterlinkTxSpacecraft

pub fn noises( &mut self, epoch: Epoch, rng: Option<&mut Pcg64Mcg>, ) -> Result<Vec<f64>, ODError>

Returns the noises for all measurement types configured for this ground station at the provided epoch, timestamp noise is the first entry.

Trait Implementations

impl Clone for InterlinkTxSpacecraft

fn clone(&self) -> InterlinkTxSpacecraft

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ConfigRepr for InterlinkTxSpacecraft

fn load<P>(path: P) -> Result<Self, ConfigError>

where P: AsRef<Path>,

Builds the configuration representation from the path to a yaml

fn load_many<P>(path: P) -> Result<Vec<Self>, ConfigError>

where P: AsRef<Path>,

Builds a sequence of “Selves” from the provided path to a yaml

fn load_named<P>(path: P) -> Result<BTreeMap<String, Self>, ConfigError>

where P: AsRef<Path>,

Builds a map of names to “selves” from the provided path to a yaml

fn loads_many(data: &str) -> Result<Vec<Self>, ConfigError>

Builds a sequence of “Selves” from the provided string of a yaml

fn loads_named(data: &str) -> Result<BTreeMap<String, Self>, ConfigError>

Builds a sequence of “Selves” from the provided string of a yaml

impl Debug for InterlinkTxSpacecraft

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for InterlinkTxSpacecraft

fn deserialize<D>(_deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl ScalarSensitivityT<GroundAsset, GroundAsset, InterlinkTxSpacecraft> for ScalarSensitivity<GroundAsset, GroundAsset, InterlinkTxSpacecraft>

fn new( msr_type: MeasurementType, msr: &Measurement, rx: &GroundAsset, tx: &InterlinkTxSpacecraft, almanac: Arc<Almanac>, ) -> Result<Self, ODError>

First, we ensure that the transmitter vehicle is expressed in the same frame as the ground asset. Then we compute the AER as seen from the ground asset.

impl Serialize for InterlinkTxSpacecraft

fn serialize<S>(&self, _serializer: S) -> Result<S::Ok, S::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.

impl TrackerSensitivity<GroundAsset, GroundAsset> for InterlinkTxSpacecraft

where DefaultAllocator: Allocator<<Spacecraft as State>::Size> + Allocator<<Spacecraft as State>::VecLength> + Allocator<<Spacecraft as State>::Size, <Spacecraft as State>::Size>,

fn h_tilde<M: DimName>( &self, msr: &Measurement, msr_types: &IndexSet<MeasurementType>, rx: &GroundAsset, almanac: Arc<Almanac>, ) -> Result<OMatrix<f64, M, <GroundAsset as State>::Size>, ODError>

where DefaultAllocator: Allocator<M> + Allocator<M, <GroundAsset as State>::Size>,

Returns the sensitivity matrix of size MxS where M is the number of simultaneous measurements and S is the size of the state being solved for.

impl TrackerSensitivity<Spacecraft, Spacecraft> for InterlinkTxSpacecraft

where DefaultAllocator: Allocator<<Spacecraft as State>::Size> + Allocator<<Spacecraft as State>::VecLength> + Allocator<<Spacecraft as State>::Size, <Spacecraft as State>::Size>,

fn h_tilde<M: DimName>( &self, msr: &Measurement, msr_types: &IndexSet<MeasurementType>, rx: &Spacecraft, almanac: Arc<Almanac>, ) -> Result<OMatrix<f64, M, <Spacecraft as State>::Size>, ODError>

where DefaultAllocator: Allocator<M> + Allocator<M, <Spacecraft as State>::Size>,

Returns the sensitivity matrix of size MxS where M is the number of simultaneous measurements and S is the size of the state being solved for.

impl TrackingDevice<GroundAsset> for InterlinkTxSpacecraft

fn measure_instantaneous( &mut self, rx: GroundAsset, rng: Option<&mut Pcg64Mcg>, almanac: Arc<Almanac>, ) -> Result<Option<Measurement>, ODError>

Returns the Range and Doppler from pnt vehicle to ground asset (i.e. the opposed AER range and doppler data.)

fn measurement_covar( &self, msr_type: MeasurementType, epoch: Epoch, ) -> Result<f64, ODError>

Returns the measurement noise of this ground station.

Methodology

Noises are modeled using a [StochasticNoise] process, defined by the sigma on the turn-on bias and on the steady state noise. The measurement noise is computed assuming that all measurements are independent variables, i.e. the measurement matrix is a diagonal matrix. The first item in the diagonal is the range noise (in km), set to the square of the steady state sigma. The second item is the Doppler noise (in km/s), set to the square of the steady state sigma of that Gauss Markov process.

fn name(&self) -> String

Returns the name of this tracking data simulator

fn measurement_types(&self) -> &IndexSet<MeasurementType>

Returns the enabled measurement types for thie device.

fn location( &self, epoch: Epoch, frame: Frame, almanac: Arc<Almanac>, ) -> AlmanacResult<Orbit>

Returns the device location at the given epoch and in the given frame.

fn measure( &mut self, epoch: Epoch, traj: &Traj<GroundAsset>, rng: Option<&mut Pcg64Mcg>, almanac: Arc<Almanac>, ) -> Result<Option<Measurement>, ODError>

Performs a measurement of the input trajectory at the provided epoch (with integration times if relevant), and returns a measurement from itself to the input state. Returns None of the object is not visible. This trait function takes in a trajectory and epoch so it can properly simulate integration times for the measurements. If the random number generator is provided, it shall be used to add noise to the measurement.

fn measurement_bias( &self, msr_type: MeasurementType, _epoch: Epoch, ) -> Result<f64, ODError>

fn measurement_covar_matrix<M: DimName>( &self, msr_types: &IndexSet<MeasurementType>, epoch: Epoch, ) -> Result<OMatrix<f64, M, M>, ODError>

where DefaultAllocator: Allocator<M, M>,

fn measurement_bias_vector<M: DimName>( &self, msr_types: &IndexSet<MeasurementType>, epoch: Epoch, ) -> Result<OVector<f64, M>, ODError>

where DefaultAllocator: Allocator<M>,

impl TrackingDevice<Spacecraft> for InterlinkTxSpacecraft

fn measurement_covar( &self, msr_type: MeasurementType, epoch: Epoch, ) -> Result<f64, ODError>

Returns the measurement noise of this ground station.

Methodology

Noises are modeled using a StochasticNoise process, defined by the sigma on the turn-on bias and on the steady state noise. The measurement noise is computed assuming that all measurements are independent variables, i.e. the measurement matrix is a diagonal matrix. The first item in the diagonal is the range noise (in km), set to the square of the steady state sigma. The second item is the Doppler noise (in km/s), set to the square of the steady state sigma of that Gauss Markov process.

fn name(&self) -> String

Returns the name of this tracking data simulator

fn measurement_types(&self) -> &IndexSet<MeasurementType>

Returns the enabled measurement types for thie device.

fn location( &self, epoch: Epoch, frame: Frame, almanac: Arc<Almanac>, ) -> AlmanacResult<Orbit>

Returns the device location at the given epoch and in the given frame.

fn measure( &mut self, epoch: Epoch, traj: &Traj<Spacecraft>, rng: Option<&mut Pcg64Mcg>, almanac: Arc<Almanac>, ) -> Result<Option<Measurement>, ODError>

Performs a measurement of the input trajectory at the provided epoch (with integration times if relevant), and returns a measurement from itself to the input state. Returns None of the object is not visible. This trait function takes in a trajectory and epoch so it can properly simulate integration times for the measurements. If the random number generator is provided, it shall be used to add noise to the measurement.

fn measure_instantaneous( &mut self, rx: Spacecraft, rng: Option<&mut Pcg64Mcg>, almanac: Arc<Almanac>, ) -> Result<Option<Measurement>, ODError>

fn measurement_bias( &self, msr_type: MeasurementType, _epoch: Epoch, ) -> Result<f64, ODError>

fn measurement_covar_matrix<M: DimName>( &self, msr_types: &IndexSet<MeasurementType>, epoch: Epoch, ) -> Result<OMatrix<f64, M, M>, ODError>

where DefaultAllocator: Allocator<M, M>,

fn measurement_bias_vector<M: DimName>( &self, msr_types: &IndexSet<MeasurementType>, epoch: Epoch, ) -> Result<OVector<f64, M>, ODError>

where DefaultAllocator: Allocator<M>,