Position fusion of sensors with dissimilar accuracies | ||||
| The International Conference on Electrical Engineering | ||||
| Article 176, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-18 PDF (132.02 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2008.34628 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ashraf M. Aziz | ||||
| Associate Professor, Elec. Eng. Dept., Military Technical College, Cairo, Egypt. | ||||
| Abstract | ||||
| Abstract: Position fusion combines locations derived from distributed sensors, monitor an entity, to obtain an accurate estimate of the entity's position. It takes advantages of redundancy and diversity present in the measured data. If the measured data from multiple sensors are correctly combined, then the fused sensor data has better accuracy. This paper addresses the problem of position fusion, based on Bayesian minimum mean square error criterion, using measurement from multiple sensors with dissimilar accuracies. The results show that the performance of the fused measurements may perform worse than the performance of the individual sensor measurements. The best performance of the fused measurements occurs when the sensors have the same accuracies. The performance of the fused measurements is worse than the performance of the best accurate sensor when the sensor accuracies vary widely. In this case, adopting the best accurate sensor is recommenced and position fusion is not recommended. | ||||
| Keywords | ||||
| Position fusion- Multisensor integration- Data fusion- Tracking using distributed sensors | ||||
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