| Autor: |
K. Davstad, L. Sjoberg, M. Ekman |
| Rok vydání: |
2007 |
| Předmět: |
|
| Zdroj: |
2007 Information, Decision and Control. |
| DOI: |
10.1109/idc.2007.374546 |
| Popis: |
In this paper the tracking of ground targets using acoustic sensors, distributed in a wireless network, is studied. The solution to the tracking problem is given within the Bayesian recursive framework. A particle filter (PF) is developed which includes a data association technique based on joint probabilistic data association (JPDA) and a method for handling road constraints. Validation and evaluation of the tracking algorithms are performed using real data extracted from a ground sensor network. The tracking of the targets shows a satisfactory result. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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