Geolocator_V2 - Prototype for geolocation engine
收藏DataCite Commons2025-09-18 更新2026-02-09 收录
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https://figshare.com/articles/dataset/Geolocator_V2_-_Prototype_for_geolocation_engine/30158680
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Prototype for geolocation engine. Derived from GNB_combiner_V21 that was used in the production of three CEAS publicationshttps://link.springer.com/article/10.1007/s12567-024-00578-4https://link.springer.com/article/10.1007/s12567-024-00552-0 https://www.doi.org/10.1007/s12567-025-00646-3 This software is a wrapper for the GNB considered state estimator It does a single Monte-Carlo draw to obtain biases on the three collectors and produces a biased geolocation data set to feed the estimator The state estimator covariance and state are used to obtain a set of evaluation metrics The wrapper then propagates the measurement data set forward in time to obtain an estimate of the system performance over an extended periodc This wrapper only deals with a 2-parameter (lat/lon) state. The engine has the capability to solve for a full 6-parameter (pos/vel) state, as was done in the first CEAS paper, or even biases as a solve-for parameter, but those options are not supported in this package, nor are more than 3 collectors or geolocation measurements other than TDOA and FDOA. These are not limited by the methodology, but in this software implementation. The implementation has the navigation input in the form of Keplerian elements for three collectors at geosynchronous altitude with near zero eccentricity and low (2-6 degrees) inclination A covariance matrix typical of near geostationary orbit is used for all three collectors for convenience, since it can be propagated using Hill's equations. This choice provides reasonably good quality T/FDOA data with approximately 100 m accuracy If a "user" is interested in using this approach, and has access to ephemeris/covariance for collectors I would like to work with you to evaluate performance under realistic scenarios All input is via namelist_geo.txt file; default parameters are annotated
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figshare
创建时间:
2025-09-18



