Tracked unknown objects identification with possible source of origin: algorithms and results
- Paper number
IAC-06-B6.P.1.08
- Author
Dr. Vladimir Agapov, Keldysh Institute of Applied Mathematics, RAS, Russia
- Coauthor
Dr. Sergey Kamenskiy, Russia
- Coauthor
Dr. Zakhary Khutorovsky, Russia
- Coauthor
Dr. Viktor Stepanyants, Keldysh Institute of Applied Mathematics, RAS, Russia
- Coauthor
Mrs. Nataliya Golosova, Russia
- Coauthor
Mr. Nikolay Sbytov, Russia
- Year
2006
- Abstract
Work on development and implementation of algorithms of tracked unknown objects identification with possible source of their origin had been carried out during 2004-2005 jointly by Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences (KIAM RAS) and Space Informatics and Analytical Systems JSC. Algorithms had been implemented as part of appropriate software tools which had been tested intensively for GEO objects and partially - for several cases of objects on other geocentric orbits. First algorithm is based on idea of using of covariance matrix of errors for identification in space of specially selected parameters. Besides that the task is using specially developed model of 'background population' distribution density. Parameters of the background population are calculating using existing orbital archive and can be updated with required time frequency using developed clustering algorithm. Results of numerous tests showed that for objects of all orbital classes reliable continuous identification is achieved for whole time period of an object orbital existence. It permits to construct archive of measurements and orbits related to the same object in cases when due to some reasons object was lost and then found again but was cataloged as a new one or time intervals between trajectory measurements for the same object are very long that prevented proper 'traditional' identification. In case of long time gaps between orbital estimations for GEO object high reliability of proper identification is achievable at time intervals of order of 15 years. For high elliptical objects (HEO) reliable identification results can be obtained in case of orbital estimation time gaps up to 3-4 years. And for LEO objects acceptable results of identification can be obtained (in general case) when the time gap is of 4 months order. Second algorithm is dedicated to solving of complex identification task of GEO objects’ origin (especially of non-maneuvering upper stages, operational and fragmentation debris) involving different kinds of information. It is based on assumptions (or knowledge) about some initial orbital parameters of objects originated in supposed launch or orbital operation (for example, release of a fragment), estimation of orbital parameters propagation errors at the epoch of mentioned orbital parameters derived from propagation of orbit of studied unknown object and estimation of object’s physical properties obtained from observations. Using this algorithm some unknown objects continuously tracking at present had been identified with early GEO launches of the end of the 1960ths-beginning of the 1970ths. This algorithm had been successfully tested also for cases of recently discovered GEO faint debris objects. In our paper we will present examples of application of both algorithms in real space surveillance tasks.
- Abstract document