Tracking a Maneuvering Target using AUV
| Autor: | M. Ajay Kumar, P. Dhatri Shree, Kausar Jahan, M. Sai Charan, S. Koteswara Rao |
|---|---|
| Přispěvatelé: | Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) |
| Rok vydání: | 2019 |
| Předmět: |
Estimation
Extended Kalman Filter Maneuvering Target Motion Analysis Three-Dimensional tracking Unmanned aerial vehicle Environmental Engineering Computer science business.industry General Engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS 2249-8958 Tracking (particle physics) Computer Science Applications Extended Kalman filter ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Computer vision Artificial intelligence business B3026129219/2019©BEIESP |
| Zdroj: | International Journal of Engineering and Advanced Technology. 9:292-296 |
| ISSN: | 2249-8958 |
| Popis: | In this paper effort is made to track a maneuvering target using Unmanned Aerial Vehicles (UAV) with range, bearing and elevation measurements. Extended Kalman filter is preferred to processmeasurements tampered with noise. Algorithm to detect the maneuver of target is developed in this paper. This information about range, bearing and elevation is communicated to weapon guidance station by means of personal communication system between UAV and weapon guidance station. Mathematical modeling in detail and simulation results is presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|