| タイトル | Accommodating Sensor Uncertainty in the Cones Method: Polycones and Fuzzycones |
| 本文（外部サイト） | http://hdl.handle.net/2060/20060021585 |
| 著者（英） | Hashmall, Joseph A. |
| 著者所属（英） | AI Solutions, Inc. |
| 発行日 | 2006-01-01 |
| 言語 | eng |
| 内容記述 | The "cones method" is an analytical algorithm to combine a pair of angle observations into a common vector. Two new algorithms have been developed to optimize the "cones method" solutions when more than two observation angles are available and when estimates of measurement uncertainties can be made. The polycones algorithm consists of determining a simple weighted average of the solution vectors over all possible pairs of measurements with the weights determined from the measurement uncertainty. The Fuzzycones method finds the vector of maximum probability. Both of these methods have been implemented and tested and both reduce errors in computed vector positions. |
| NASA分類 | Mathematical and Computer Sciences (General) |
| 権利 | No Copyright |
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