Abstract
The relative sensor-target formation configuration can significantly affect the potential performance of any particular localization algorithm. An evaluation measure based on the one-step prediction error covariance in extended Kalman filter process is derived in this letter. We determine the optimal sensor placement for the range-only localization considering the prior target location information. The conclusions are different from that in the static estimation problem.
Original language | English |
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Article number | 7293122 |
Pages (from-to) | 2393-2397 |
Number of pages | 5 |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 12 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2015 |
Keywords
- Covariance matrices
- Extraterrestrial measurements
- Geometry
- Optimization
- Robot sensing systems
- Target tracking
- Uncertainty