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Proceedings Paper

UUV-platform cooperation in covert tracking
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Paper Abstract

In underwater tracking, such as with an unmanned undersea vehicle (UUV) or torpedo it is advantageous to track a target covertly. The Maximum Likelihood-Probabilistic Data Association (ML-PDA) tracking algorithm, which has been demonstrated to establish and maintain track in low SNR/high clutter environments, is used to develop track information in a covert tracking application. By combining intermittent sensor data (active sonar) from the UUV with that of the launch platform (passive sonar) in the ML-PDA track algorithm, fewer active transmissions are required to establish and maintain a given track accuracy thereby reducing the chance of target alertment. We show that this is a viable operating model and demonstrate how sensor placement affects track accuracy, including determination of best sensor placement and requirements on active transmissions to maintain minimum tracking accuracy.

Paper Details

Date Published: 15 September 2005
PDF: 9 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59131U (15 September 2005); doi: 10.1117/12.618930
Show Author Affiliations
Wayne R. Blanding, Univ. of Connecticut (United States)
Peter K. Willett, Univ. of Connecticut (United States)
Yaakov Bar-Shalom, Univ. of Connecticut (United States)
Robert S. Lynch, Naval Undersea Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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