Accession Number : ADA258971


Title :   An Analysis of USSPACECOM's Space Surveillance Network (SSN) Sensor Tasking Methodology


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING


Personal Author(s) : Berger, Jeff M ; Moles, Joseph B ; Wilsey, David G


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a258971.pdf


Report Date : Dec 1992


Pagination or Media Count : 409


Abstract : This study provides the basis for the development of a cost/benefit assessment model to determine the effects of alterations to the Space Surveillance Network (SSN) on orbital element (OE) set accuracy. It provides a review of current methods used by NORAD and the SSN to gather and process observations, an alternative to the current Gabbard classification method, and the development of a model to determine the effects of observation rate and correction interval on OE set accuracy. The proposed classification scheme is based on satellite J2 perturbations. Specifically, classes were established based on mean motion, eccentricity, and inclination Since J2 perturbation effects are functions of only these elements. Model development began by creating representative sensor observations using a highly accurate orbital propagation model. These observations were compared to predicted observations generated using the NORAD Simplified General Perturbation (SGP4) model and differentially corrected using a Bayes, sequential estimation, algorithm. A 10- run Monte Carlo analysis was performed using this model on 12 satellites using 16 different observation rate/correction interval combinations. An ANOVA and confidence interval analysis of the results show that this model does demonstrate the differences in steady state position error based on varying observation rate and correction interval.


Descriptors :   *ORBITS , *SPACE SURVEILLANCE , *RADAR TRACKING , *SATELLITE TRACKING SYSTEMS , *OPTICAL DETECTORS , *ARTIFICIAL SATELLITES , ALGORITHMS , AIR DEFENSE , NETWORKS , MOTION , MONTE CARLO METHOD , ERRORS , ECCENTRICITY , DETERMINATION , SURVEILLANCE , REFRACTION , MEAN , PERTURBATIONS , COSTS , THESES , OBSERVATION , TARGET RECOGNITION , MODELS , COST EFFECTIVENESS , STEADY STATE


Subject Categories : Optical Detection and Detectors
      Active & Passive Radar Detection & Equipment
      Unmanned Spacecraft
      Spacecraft Trajectories and Reentry


Distribution Statement : APPROVED FOR PUBLIC RELEASE