Paper
15 September 2005 UUV-platform cooperation in covert tracking
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wayne R. Blanding, Peter K. Willett, Yaakov Bar-Shalom, and Robert S. Lynch "UUV-platform cooperation in covert tracking", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59131U (15 September 2005); https://doi.org/10.1117/12.618930
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Cited by 1 scholarly publication.
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KEYWORDS
Active sonar

Passive sonar

Detection and tracking algorithms

Target detection

Sensors

Error analysis

Algorithm development

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