05_caps/
main.rs

1extern crate log;
2extern crate nyx_space as nyx;
3extern crate pretty_env_logger as pel;
4
5use anise::{
6    almanac::Almanac,
7    constants::{
8        celestial_objects::{EARTH, SUN},
9        frames::{EARTH_J2000, IAU_MOON_FRAME, MOON_J2000},
10    },
11};
12use hifitime::{Epoch, TimeUnits};
13use nyx::{
14    cosmic::Aberration,
15    dynamics::{OrbitalDynamics, SpacecraftDynamics},
16    io::ExportCfg,
17    md::prelude::{IntegratorOptions, Propagator},
18    od::interlink::InterlinkTxSpacecraft,
19    od::noise::link_specific,
20    od::prelude::*,
21    Orbit, Spacecraft, State,
22};
23
24use indexmap::{IndexMap, IndexSet};
25use std::{collections::BTreeMap, error::Error, path::PathBuf, sync::Arc};
26
27// Test the Cislunar Autonomous Positioning System (CAPS) similar to how it's flown on CAPSTONE.
28/// Assume that the NRHO orbiter is the transmitter in a two-way communication with a low lunar orbiter.
29/// This is a Spacecraft to Spacecraft Orbit Determination Process (S2SODP).
30///
31/// We test that with dispersions we can still converge on a better than the original dispersion.
32/// NOTE: In this short tracking arc, we do not converge well because we don't have good enough visibility
33/// of the crosstrack. This is reflected in the covariance.
34fn main() -> Result<(), Box<dyn Error>> {
35    pel::init();
36
37    // ====================== //
38    // === ALMANAC SET UP === //
39    // ====================== //
40
41    let manifest_dir =
42        PathBuf::from(std::env::var("CARGO_MANIFEST_DIR").unwrap_or(".".to_string()));
43
44    let out = manifest_dir.join("data/04_output/");
45
46    let almanac = Arc::new(
47        Almanac::new(
48            &manifest_dir
49                .join("data/01_planetary/pck08.pca")
50                .to_string_lossy(),
51        )
52        .unwrap()
53        .load(
54            &manifest_dir
55                .join("data/01_planetary/de440s.bsp")
56                .to_string_lossy(),
57        )
58        .unwrap(),
59    );
60
61    let eme2k = almanac.frame_from_uid(EARTH_J2000).unwrap();
62    let moon_iau = almanac.frame_from_uid(IAU_MOON_FRAME).unwrap();
63
64    let epoch = Epoch::from_gregorian_tai(2021, 5, 29, 19, 51, 16, 852_000);
65    let nrho = Orbit::cartesian(
66        166_473.631_302_239_7,
67        -274_715.487_253_382_7,
68        -211_233.210_176_686_7,
69        0.933_451_604_520_018_4,
70        0.436_775_046_841_900_9,
71        -0.082_211_021_250_348_95,
72        epoch,
73        eme2k,
74    );
75
76    let tx_nrho_sc = Spacecraft::from(nrho);
77
78    let state_luna = almanac.transform_to(nrho, MOON_J2000, None).unwrap();
79    println!("Start state (dynamics: Earth, Moon, Sun gravity):\n{state_luna}");
80
81    let bodies = vec![EARTH, SUN];
82    let dynamics = SpacecraftDynamics::new(OrbitalDynamics::point_masses(bodies));
83
84    let setup = Propagator::rk89(
85        dynamics,
86        IntegratorOptions::builder().max_step(0.5.minutes()).build(),
87    );
88
89    /* == Propagate the NRHO vehicle == */
90    let prop_time = 1.1 * state_luna.period().unwrap();
91
92    let (nrho_final, mut tx_traj) = setup
93        .with(tx_nrho_sc, almanac.clone())
94        .for_duration_with_traj(prop_time)
95        .unwrap();
96
97    tx_traj.name = Some("NRHO Tx SC".to_string());
98
99    println!("{tx_traj}");
100
101    /* == Propagate an LLO vehicle == */
102    let llo_orbit =
103        Orbit::try_keplerian_altitude(110.0, 1e-4, 90.0, 0.0, 0.0, 0.0, epoch, moon_iau).unwrap();
104
105    let llo_sc = Spacecraft::builder().orbit(llo_orbit).build();
106
107    let (_, llo_traj) = setup
108        .with(llo_sc, almanac.clone())
109        .until_epoch_with_traj(nrho_final.epoch())
110        .unwrap();
111
112    // Export the subset of the first two hours.
113    llo_traj
114        .clone()
115        .filter_by_offset(..2.hours())
116        .to_parquet_simple(out.join("05_caps_llo_truth.pq"), almanac.clone())?;
117
118    /* == Setup the interlink == */
119
120    let mut measurement_types = IndexSet::new();
121    measurement_types.insert(MeasurementType::Range);
122    measurement_types.insert(MeasurementType::Doppler);
123
124    let mut stochastics = IndexMap::new();
125
126    let sa45_csac_allan_dev = 1e-11;
127
128    stochastics.insert(
129        MeasurementType::Range,
130        StochasticNoise::from_hardware_range_km(
131            sa45_csac_allan_dev,
132            10.0.seconds(),
133            link_specific::ChipRate::StandardT4B,
134            link_specific::SN0::Average,
135        ),
136    );
137
138    stochastics.insert(
139        MeasurementType::Doppler,
140        StochasticNoise::from_hardware_doppler_km_s(
141            sa45_csac_allan_dev,
142            10.0.seconds(),
143            link_specific::CarrierFreq::SBand,
144            link_specific::CN0::Average,
145        ),
146    );
147
148    let interlink = InterlinkTxSpacecraft {
149        traj: tx_traj,
150        measurement_types,
151        integration_time: None,
152        timestamp_noise_s: None,
153        ab_corr: Aberration::LT,
154        stochastic_noises: Some(stochastics),
155    };
156
157    // Devices are the transmitter, which is our NRHO vehicle.
158    let mut devices = BTreeMap::new();
159    devices.insert("NRHO Tx SC".to_string(), interlink);
160
161    let mut configs = BTreeMap::new();
162    configs.insert(
163        "NRHO Tx SC".to_string(),
164        TrkConfig::builder()
165            .strands(vec![Strand {
166                start: epoch,
167                end: nrho_final.epoch(),
168            }])
169            .build(),
170    );
171
172    let mut trk_sim =
173        TrackingArcSim::with_seed(devices.clone(), llo_traj.clone(), configs, 0).unwrap();
174    println!("{trk_sim}");
175
176    let trk_data = trk_sim.generate_measurements(almanac.clone()).unwrap();
177    println!("{trk_data}");
178
179    trk_data
180        .to_parquet_simple(out.clone().join("nrho_interlink_msr.pq"))
181        .unwrap();
182
183    // Run a truth OD where we estimate the LLO position
184    let llo_uncertainty = SpacecraftUncertainty::builder()
185        .nominal(llo_sc)
186        .x_km(1.0)
187        .y_km(1.0)
188        .z_km(1.0)
189        .vx_km_s(1e-3)
190        .vy_km_s(1e-3)
191        .vz_km_s(1e-3)
192        .build();
193
194    let mut proc_devices = devices.clone();
195
196    // Define the initial estimate, randomized, seed for reproducibility
197    let mut initial_estimate = llo_uncertainty.to_estimate_randomized(Some(0)).unwrap();
198    // Inflate the covariance -- https://github.com/nyx-space/nyx/issues/339
199    initial_estimate.covar *= 2.5;
200
201    // Increase the noise in the devices to accept more measurements.
202
203    for link in proc_devices.values_mut() {
204        for noise in &mut link.stochastic_noises.as_mut().unwrap().values_mut() {
205            *noise.white_noise.as_mut().unwrap() *= 3.0;
206        }
207    }
208
209    let init_err = initial_estimate
210        .orbital_state()
211        .ric_difference(&llo_orbit)
212        .unwrap();
213
214    println!("initial estimate:\n{initial_estimate}");
215    println!("RIC errors = {init_err}",);
216
217    let odp = InterlinkKalmanOD::new(
218        setup.clone(),
219        KalmanVariant::ReferenceUpdate,
220        Some(ResidRejectCrit::default()),
221        proc_devices,
222        almanac.clone(),
223    );
224
225    // Shrink the data to process.
226    let arc = trk_data.filter_by_offset(..2.hours());
227
228    let od_sol = odp.process_arc(initial_estimate, &arc).unwrap();
229
230    println!("{od_sol}");
231
232    od_sol
233        .to_parquet(
234            out.join(format!("05_caps_interlink_od_sol.pq")),
235            ExportCfg::default(),
236        )
237        .unwrap();
238
239    let od_traj = od_sol.to_traj().unwrap();
240
241    od_traj
242        .ric_diff_to_parquet(
243            &llo_traj,
244            out.join(format!("05_caps_interlink_llo_est_error.pq")),
245            ExportCfg::default(),
246        )
247        .unwrap();
248
249    let final_est = od_sol.estimates.last().unwrap();
250    assert!(final_est.within_3sigma(), "should be within 3 sigma");
251
252    println!("ESTIMATE\n{final_est:x}\n");
253    let truth = llo_traj.at(final_est.epoch()).unwrap();
254    println!("TRUTH\n{truth:x}");
255
256    let final_err = truth
257        .orbit
258        .ric_difference(&final_est.orbital_state())
259        .unwrap();
260    println!("ERROR {final_err}");
261
262    // Build the residuals versus reference plot.
263    let rvr_sol = odp
264        .process_arc(initial_estimate, &arc.resid_vs_ref_check())
265        .unwrap();
266
267    rvr_sol
268        .to_parquet(
269            out.join(format!("05_caps_interlink_resid_v_ref.pq")),
270            ExportCfg::default(),
271        )
272        .unwrap();
273
274    let final_rvr = rvr_sol.estimates.last().unwrap();
275
276    println!("RMAG error {:.3} m", final_err.rmag_km() * 1e3);
277    println!(
278        "Pure prop error {:.3} m",
279        final_rvr
280            .orbital_state()
281            .ric_difference(&final_est.orbital_state())
282            .unwrap()
283            .rmag_km()
284            * 1e3
285    );
286
287    Ok(())
288}