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Rajya Lakshmi, Ch.
- Data Fusion of Towed Array and Hull Mounted Array Measurements for Passive Acoustic and Electromagnetic Underwater Localisation and Classification
Authors
1 Dept of Electrical and Electronics Engg, Sanketika Institute of Technology and Management, Visakhapatnam, AP, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 3, No 1 (2016), Pagination: 1-5Abstract
Background/Objectives: In our earlier work, data fusion with specific application to underwater tracking environment was explored. The target can be tracked using array bearings, while it is moving with constant velocity and maneuvering occasionally.
Methods/Statistical analysis: In this paper, it is shown that if data fusion is carried out using the bearing measurements available from Towed Array (TA) along with hull mounted array’s bearings, then tracking of a continuously moving target can be carried out easily.
Findings: This algorithm is independent of ownship maneuver for the observability of the process. Song and Speyer's modified gain algorithms are utilized with some modifications for estimation.
Application/Improvements: Monte Carlo simulation is performed and results are shown for various typical geometries which revealed that this algorithm is useful naval based applications.
Keywords
Estimation, Sonar, Tracking, Data Fusion, Kalman Filter, Observability, Maneuver.References
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