Tracking weak targets with a grid search approach using spatially distributed sensors
| Autor: | J.L. Riley, C.M. McIntyre, M. Swift, M. Sandys-Wunsch, W. Elliston |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Engineering
Bearing (mechanical) business.industry Tracking (particle physics) computer.software_genre Sensor fusion law.invention Signal-to-noise ratio Grid computing Robustness (computer science) law Search algorithm Hyperparameter optimization Computer vision Artificial intelligence business computer |
| Zdroj: | Proceeding of 1st Australian Data Fusion Symposium. |
| DOI: | 10.1109/adfs.1996.581073 |
| Popis: | This paper investigates the performance and robustness of two grid search algorithms; the space-time integration (STI) technique and the integrated grid search localisation and tracking algorithm (IGLOO) which both combine data from spatially separated sensors. The algorithms are applied to two different scenarios; a target moving in a straight line through a sonobuoy field; and a target undertaking a major course change. Although most techniques will track a target moving in a straight line quite successfully many have difficulty tracking the target as it manoeuvres through a slow turn. The advantages of data fusion are highlighted using the IGLOO algorithm where the results using bearings only, frequency only and combined bearing/frequency information are provided. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|