Distributed estimation in the MIT/LL (Massachusetts Institute of Technology/Lincoln Laboratory) DSN (Distributed Sensor Networks) test-bed

This paper describes the acoustic tracking algorithms currently used in the MIT Lincoln Laboratory (MIT/LL) Distributed Sensor Networks (DSN) test-bed. It discusses the original motivation for inclusion of various features in those algorithms and the lessons learned about those features through experimentation with real and simulated data. Plans for modifications to the detection and tracking algorithms are briefly sketched. A DSN is a surveillance and tracking system employing many geographically dispersed sensor/processor nodes connected by a computer communications network and implemented as a confederacy of identical autonomous cooperating processes.