| タイトル | Analysis of estimation algorithms for autonomous navigation with TDRSS data |
| 本文（外部サイト） | http://hdl.handle.net/2060/19810002568 |
| 著者（英） | Gural, P.; Sielski, H.; Dunham, J.; Preiss, K.; Long, A. |
| 著者所属（英） | Computer Sciences Corp. |
| 発行日 | 1980-10-01 |
| 言語 | eng |
| 内容記述 | Estimation techniques for onboard orbit determination using Tracking and Data Relay Satellite System (TDRSS) data are investigated. The two user satellite orbits studied are similar to Landsat-D (near-circular, 700 kilometers altitude, near-polar inclination). The following estimation algorithms are identified as candidates for use in autonomous navigation: (1) the extended Kalman filter with process noise, (2) the EKF with consider parameters, (3) the sequential Kalman filter with consider parameters, and (4) the batch least-squares differential correction technique. The candidate estimators are evaluated with respect to their performance with both baseline and worst TDRSS measurement errors and tracking configurations. |
| NASA分類 | ASTRODYNAMICS |
| レポートNO | 81N11076 |
| 権利 | No Copyright |
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