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//! PVT Solutions
use crate::prelude::{Vector3, SV};
use crate::Error;
use std::collections::HashMap;
#[derive(Debug, Copy, Clone, Default)]
pub enum PVTSolutionType {
/// Default, complete solution with Position,
/// Velocity and Time components. Requires either
/// 4 vehicles in sight, or 3 if you're working in fixed altitude
/// (provided ahead of time).
#[default]
PositionVelocityTime,
/// Resolve Time component only. Requires 1 vehicle to resolve.
TimeOnly,
}
impl std::fmt::Display for PVTSolutionType {
/*
* Prints self
*/
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
match self {
Self::PositionVelocityTime => write!(f, "PVT"),
Self::TimeOnly => write!(f, "TimeOnly"),
}
}
}
use nalgebra::base::{DVector, MatrixXx4};
use nyx::cosmic::SPEED_OF_LIGHT;
#[cfg(feature = "serde")]
use serde::{Deserialize, Serialize};
/// Modeled (estimated) or measured Time Delay.
#[derive(Debug, Copy, Clone, Default)]
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
pub struct PVTBias {
/// Measured delay [meters of delay]
pub measured: Option<f64>,
/// Modeled delay [meters of delay]
pub modeled: Option<f64>,
}
impl PVTBias {
/// Time Delay in [s], whether it was modeled
/// or physically measured (prefered).
pub fn value(&self) -> Option<f64> {
if self.measured.is_none() {
self.modeled
} else {
self.measured
}
}
/// Builds a measured Time Delay from a measurement in [s]
pub fn measured(measurement: f64) -> Self {
Self {
measured: Some(measurement),
modeled: None,
}
}
/// Builds a modeled Time Delay from a model in [s]
pub fn modeled(model: f64) -> Self {
Self {
modeled: Some(model),
measured: None,
}
}
}
/// Data attached to each individual SV that helped form the PVT solution.
#[derive(Debug, Copy, Clone, Default)]
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
pub struct PVTSVData {
/// Azimuth angle at resolution time
pub azimuth: f64,
/// Elevation angle at resolution time
pub elevation: f64,
/// Either measured or modeled Tropospheric Delay
/// that impacted L1 signal
pub tropo_bias: PVTBias,
/// Either measured or modeled Ionospheric Delay
/// that impacted L1 signal
pub iono_bias: PVTBias,
}
/// PVT Solution, always expressed as the correction to apply
/// to an Apriori / static position.
#[derive(Debug, Clone, Default)]
// #[cfg_attr(feature = "serde", derive(Serialize))]
pub struct PVTSolution {
/// X, Y, Z corrections (in [m] ECEF)
pub p: Vector3<f64>,
/// Absolute Velocity (in [m/s] ECEF).
pub v: Vector3<f64>,
/// Time correction in [s]
pub dt: f64,
/// Horizontal Dilution of Precision
pub hdop: f64,
/// Vertical Dilution of Precision
pub vdop: f64,
/// Time Dilution of Precision in [s]
pub tdop: f64,
/// Space Vehicles that helped form this solution
/// and data associated to each individual SV
pub sv: HashMap<SV, PVTSVData>,
}
impl PVTSolution {
/// Builds a new PVTSolution from
/// "g": the navigation matrix
/// "y": the navigation vector
/// "sv": attached SV data
pub fn new(
g: MatrixXx4<f64>,
y: DVector<f64>,
sv: HashMap<SV, PVTSVData>,
) -> Result<Self, Error> {
let g_prime = g.clone().transpose();
let q = (g_prime.clone() * g.clone())
.try_inverse()
.ok_or(Error::MatrixInversionError)?;
let x = q * g_prime.clone();
let xy = x * y;
let (x, y, z) = (xy[0], xy[1], xy[2]);
let dt = xy[3] / SPEED_OF_LIGHT;
if dt.is_nan() {
return Err(Error::HasNan);
}
Ok(Self {
sv,
dt,
p: Vector3::new(x, y, z),
v: Vector3::<f64>::default(),
hdop: (q[(0, 0)] + q[(1, 1)]).sqrt(),
vdop: q[(2, 2)].sqrt(),
tdop: q[(3, 3)].sqrt(),
})
}
/// Returns list of Space Vehicles (SV) that help form this solution.
pub fn sv(&self) -> Vec<SV> {
self.sv.keys().copied().collect()
}
}