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Orbital Object Toolkit including Multiple Propagators, Initial Orbit Determination, and Maneuver Calculations.

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/** * @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; }