ootk
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Orbital Object Toolkit including Multiple Propagators, Initial Orbit Determination, and Maneuver Calculations.
47 lines (46 loc) • 2.22 kB
TypeScript
/**
* @author @thkruz Theodore Kruczek
* @license AGPL-3.0-or-later
* @copyright (c) 2025 Kruczek Labs LLC
*
* Orbital Object ToolKit is free software: you can redistribute it and/or modify it under the
* terms of the GNU Affero General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any later version.
*
* Orbital Object ToolKit is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License along with
* Orbital Object ToolKit. If not, see <http://www.gnu.org/licenses/>.
*/
import { EpochUTC, J2000, Kilometers, Matrix, Radians, RAE, Vector, Vector3D } from '../main.js';
import { RandomGaussianSource } from '../operations/RandomGaussianSource.js';
import { Propagator } from '../propagator/Propagator.js';
import { Observation } from './Observation.js';
import { PropagatorPairs } from './PropagatorPairs.js';
export declare class ObservationRadar extends Observation {
private readonly site_;
observation: RAE;
private readonly noise_;
constructor(site_: J2000, observation: RAE, noise_?: Matrix);
private static readonly defaultNoise;
get epoch(): EpochUTC;
get site(): J2000;
get noise(): Matrix;
toVector(): Vector;
clos(propagator: Propagator): number;
ricDiff(propagator: Propagator): Vector3D;
sample(random: RandomGaussianSource, sigma?: number): Observation;
jacobian(propPairs: PropagatorPairs): Matrix;
residual(propagator: Propagator): Matrix;
/**
* Create a noise matrix from the range, azimuth, and elevation standard
* deviations _(kilometers/radians)_.
* @param rngSigma - The range standard deviation _(kilometers)_.
* @param azSigma - The azimuth standard deviation _(radians)_.
* @param elSigma - The elevation standard deviation _(radians)_.
* @returns The noise matrix.
*/
static noiseFromSigmas(rngSigma: Kilometers, azSigma: Radians, elSigma: Radians): Matrix;
}