| Autor: |
Leonid I. Perlovsky, Ross W. Deming |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
International Journal of Advanced Robotic Systems, Vol 10 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
1729-8814 |
| DOI: |
10.5772/52859 |
| Popis: |
We have developed a maximum likelihood formulation for a joint detection, tracking and association problem. An efficient non-combinatorial algorithm for this problem is developed in case of strong clutter for radar data. By using an iterative procedure of the dynamic logic process “from vague-to-crisp” explained in the paper, the new tracker overcomes the combinatorial complexity of tracking in highly-cluttered scenarios and results in an orders-of-magnitude improvement in signal-to-clutter ratio. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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