Efficient Estimation of a Thrusting/Ballistic Trajectory Using a Single Passive Sensor
| Autor: | Yaakov Bar-Shalom, Ting Yuan, Peter Willett, Ronen Ben-Dov, Qin Lu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020301 aerospace & aeronautics
Drag coefficient Noise measurement Aerospace Engineering Thrust 02 engineering and technology Trajectory of a projectile 01 natural sciences Upper and lower bounds 010309 optics Azimuth 0203 mechanical engineering 0103 physical sciences Trajectory Measurement uncertainty Electrical and Electronic Engineering Algorithm Mathematics |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 54:3143-3149 |
| ISSN: | 2371-9877 0018-9251 |
| DOI: | 10.1109/taes.2018.2826238 |
| Popis: | The state of a thrusting/ballistic object moving in a 3-D space can be determined uniquely by a 4-D parameter vector (launch azimuth and elevation angles, drag coefficient, and specific thrust, with the latter two assumed constant) given the location of the launch point (LP). Using the first line-of-sight (LoS) measurement and the known launch altitude, one can reconstruct the LP, which, if taken as the true LP, can be used to estimate the above parameter vector. However, the resulting estimate ignores the fact that the LP based on the first LoS measurement is noisy. To make the estimate account for the LP location uncertainty, we augment the parameter vector with the ground coordinates of the LP, yielding a 6-D vector to be estimated. The estimation errors of the resulting maximum likelihood estimates are shown to meet the Cramer–Rao lower bound, i.e., they are efficient. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|