Corpus ID: 11570915

Adaptive Tracking of Underwater Targets with Autonomous Sensor Networks

@inproceedings{EickstedtAdaptiveTO,
  title={Adaptive Tracking of Underwater Targets with Autonomous Sensor Networks},
  author={D. Eickstedt}
}
This work describes an ongoing investigation at MIT into the use of a distributed network of autonomous sensor platforms to adaptively track, classify, and prosecute underwater targets in littoral areas. The paper has two major objectives, to quantify the significant advantages that a network of mobile sensors has over a single-sensor paradigm for tracking and classification of underwater targets and to describe a framework for adaptive and cooperative sensor operation in such a network. This… Expand
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