Abstract
The algorithm for simultaneous passive localization for scanning emitters and trajectory optimization for three or more receivers is proposed in this paper. The unscented Kalman filter (UKF) is introduced into the algorithm to get accurate emitter localization making use of all the time difference of arrival (TDOA) measurements till the present time, and gradient-descent method is modified to give the trajectories of the receiver platforms and to avoid possible receiver platform collisions as well. Several simulation experiments are carried out and the algorithm turns out to be able to localize the scanning emitter very accurate and lead the receivers to the optimal trajectories within acceptable computational time consumption despite of large scan fluctuation.
| Original language | English |
|---|---|
| Article number | 6426000 |
| Pages (from-to) | 788-793 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| DOIs | |
| State | Published - 2012 |
| Event | 51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States Duration: 10 Dec 2012 → 13 Dec 2012 |
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