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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    Orbit, Spacecraft, State,
15    cosmic::Aberration,
16    dynamics::{OrbitalDynamics, SpacecraftDynamics},
17    io::ExportCfg,
18    md::prelude::{IntegratorOptions, Propagator},
19    od::interlink::InterlinkTxSpacecraft,
20    od::noise::link_specific,
21    od::prelude::*,
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 = PathBuf::from(env!("CARGO_MANIFEST_DIR"));
42
43    let out = manifest_dir.join("data/04_output/");
44
45    let almanac = Arc::new(
46        Almanac::new(
47            &manifest_dir
48                .join("data/01_planetary/pck08.pca")
49                .to_string_lossy(),
50        )
51        .unwrap()
52        .load(
53            &manifest_dir
54                .join("data/01_planetary/de440s.bsp")
55                .to_string_lossy(),
56        )
57        .unwrap(),
58    );
59
60    let eme2k = almanac.frame_info(EARTH_J2000).unwrap();
61    let moon_iau = almanac.frame_info(IAU_MOON_FRAME).unwrap();
62
63    let epoch = Epoch::from_gregorian_tai(2021, 5, 29, 19, 51, 16, 852_000);
64    let nrho = Orbit::cartesian(
65        166_473.631_302_239_7,
66        -274_715.487_253_382_7,
67        -211_233.210_176_686_7,
68        0.933_451_604_520_018_4,
69        0.436_775_046_841_900_9,
70        -0.082_211_021_250_348_95,
71        epoch,
72        eme2k,
73    );
74
75    let tx_nrho_sc = Spacecraft::from(nrho);
76
77    let state_luna = almanac.transform_to(nrho, MOON_J2000, None).unwrap();
78    println!("Start state (dynamics: Earth, Moon, Sun gravity):\n{state_luna}");
79
80    let bodies = vec![EARTH, SUN];
81    let dynamics = SpacecraftDynamics::new(OrbitalDynamics::point_masses(bodies));
82
83    let setup = Propagator::rk89(
84        dynamics,
85        IntegratorOptions::builder().max_step(0.5.minutes()).build(),
86    );
87
88    /* == Propagate the NRHO vehicle == */
89    let prop_time = 1.1 * state_luna.period().unwrap();
90
91    let (nrho_final, mut tx_traj) = setup
92        .with(tx_nrho_sc, almanac.clone())
93        .for_duration_with_traj(prop_time)
94        .unwrap();
95
96    tx_traj.name = Some("NRHO Tx SC".to_string());
97
98    println!("{tx_traj}");
99
100    /* == Propagate an LLO vehicle == */
101    let llo_orbit =
102        Orbit::try_keplerian_altitude(110.0, 1e-4, 90.0, 0.0, 0.0, 0.0, epoch, moon_iau).unwrap();
103
104    let llo_sc = Spacecraft::builder().orbit(llo_orbit).build();
105
106    let (_, llo_traj) = setup
107        .with(llo_sc, almanac.clone())
108        .until_epoch_with_traj(nrho_final.epoch())
109        .unwrap();
110
111    // Export the subset of the first two hours.
112    llo_traj
113        .clone()
114        .filter_by_offset(..2.hours())
115        .to_parquet_simple(out.join("05_caps_llo_truth.pq"))?;
116
117    /* == Setup the interlink == */
118
119    let mut measurement_types = IndexSet::new();
120    measurement_types.insert(MeasurementType::Range);
121    measurement_types.insert(MeasurementType::Doppler);
122
123    let mut stochastics = IndexMap::new();
124
125    let sa45_csac_allan_dev = 1e-11;
126
127    stochastics.insert(
128        MeasurementType::Range,
129        StochasticNoise::from_hardware_range_km(
130            sa45_csac_allan_dev,
131            10.0.seconds(),
132            link_specific::ChipRate::StandardT4B,
133            link_specific::SN0::Average,
134        ),
135    );
136
137    stochastics.insert(
138        MeasurementType::Doppler,
139        StochasticNoise::from_hardware_doppler_km_s(
140            sa45_csac_allan_dev,
141            10.0.seconds(),
142            link_specific::CarrierFreq::SBand,
143            link_specific::CN0::Average,
144        ),
145    );
146
147    let interlink = InterlinkTxSpacecraft {
148        traj: tx_traj,
149        measurement_types,
150        integration_time: None,
151        timestamp_noise_s: None,
152        ab_corr: Aberration::LT,
153        stochastic_noises: Some(stochastics),
154    };
155
156    // Devices are the transmitter, which is our NRHO vehicle.
157    let mut devices = BTreeMap::new();
158    devices.insert("NRHO Tx SC".to_string(), interlink);
159
160    let mut configs = BTreeMap::new();
161    configs.insert(
162        "NRHO Tx SC".to_string(),
163        TrkConfig::builder()
164            .strands(vec![Strand {
165                start: epoch,
166                end: nrho_final.epoch(),
167            }])
168            .build(),
169    );
170
171    let mut trk_sim =
172        TrackingArcSim::with_seed(devices.clone(), llo_traj.clone(), configs, 0).unwrap();
173    println!("{trk_sim}");
174
175    let trk_data = trk_sim.generate_measurements(almanac.clone()).unwrap();
176    println!("{trk_data}");
177
178    trk_data
179        .to_parquet_simple(out.clone().join("nrho_interlink_msr.pq"))
180        .unwrap();
181
182    // Run a truth OD where we estimate the LLO position
183    let llo_uncertainty = SpacecraftUncertainty::builder()
184        .nominal(llo_sc)
185        .x_km(1.0)
186        .y_km(1.0)
187        .z_km(1.0)
188        .vx_km_s(1e-3)
189        .vy_km_s(1e-3)
190        .vz_km_s(1e-3)
191        .build();
192
193    let mut proc_devices = devices.clone();
194
195    // Define the initial estimate, randomized, seed for reproducibility
196    let mut initial_estimate = llo_uncertainty.to_estimate_randomized(Some(0)).unwrap();
197    // Inflate the covariance -- https://github.com/nyx-space/nyx/issues/339
198    initial_estimate.covar *= 2.5;
199
200    // Increase the noise in the devices to accept more measurements.
201
202    for link in proc_devices.values_mut() {
203        for noise in &mut link.stochastic_noises.as_mut().unwrap().values_mut() {
204            *noise.white_noise.as_mut().unwrap() *= 3.0;
205        }
206    }
207
208    let init_err = initial_estimate
209        .orbital_state()
210        .ric_difference(&llo_orbit)
211        .unwrap();
212
213    println!("initial estimate:\n{initial_estimate}");
214    println!("RIC errors = {init_err}",);
215
216    let odp = InterlinkKalmanOD::new(
217        setup.clone(),
218        KalmanVariant::ReferenceUpdate,
219        Some(ResidRejectCrit::default()),
220        proc_devices,
221        almanac.clone(),
222    );
223
224    // Shrink the data to process.
225    let arc = trk_data.filter_by_offset(..2.hours());
226
227    let od_sol = odp.process_arc(initial_estimate, &arc).unwrap();
228
229    println!("{od_sol}");
230
231    od_sol
232        .to_parquet(
233            out.join("05_caps_interlink_od_sol.pq"),
234            ExportCfg::default(),
235        )
236        .unwrap();
237
238    let od_traj = od_sol.to_traj().unwrap();
239
240    od_traj
241        .ric_diff_to_parquet(
242            &llo_traj,
243            out.join("05_caps_interlink_llo_est_error.pq"),
244            ExportCfg::default(),
245        )
246        .unwrap();
247
248    let final_est = od_sol.estimates.last().unwrap();
249    assert!(final_est.within_3sigma(), "should be within 3 sigma");
250
251    println!("ESTIMATE\n{final_est:x}\n");
252    let truth = llo_traj.at(final_est.epoch()).unwrap();
253    println!("TRUTH\n{truth:x}");
254
255    let final_err = truth
256        .orbit
257        .ric_difference(&final_est.orbital_state())
258        .unwrap();
259    println!("ERROR {final_err}");
260
261    // Build the residuals versus reference plot.
262    let rvr_sol = odp
263        .process_arc(initial_estimate, &arc.resid_vs_ref_check())
264        .unwrap();
265
266    rvr_sol
267        .to_parquet(
268            out.join("05_caps_interlink_resid_v_ref.pq"),
269            ExportCfg::default(),
270        )
271        .unwrap();
272
273    let final_rvr = rvr_sol.estimates.last().unwrap();
274
275    println!("RMAG error {:.3} m", final_err.rmag_km() * 1e3);
276    println!(
277        "Pure prop error {:.3} m",
278        final_rvr
279            .orbital_state()
280            .ric_difference(&final_est.orbital_state())
281            .unwrap()
282            .rmag_km()
283            * 1e3
284    );
285
286    Ok(())
287}