Radar imaging

Tracking (education)

Probabilistic logic

Pedagogy

Telecommunications

Set (abstract data type)

Computer science

Sonar

Psychology

Data set

Artificial intelligence

Bistatic radar

Marine mammals and sonar

Data association

Programming language

Radar

Passive radar

Computer vision

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

In the early 1990's, the Maximum Likelihood Probabilistic Data Association (ML-PDA) tracker was developed in a passive sonar framework, and subsequent research has shown it to be effective for tracking very low SNR targets. This was done with both active and passive sonar, for targets that have some given type of deterministic motion. Recent work has focused on applying ML-PDA to bistatic sonar data. Here, we apply ML-PDA in a sliding window implementation to three bistatic data sets used by the MSTWG (Multistatic Tracking Working Group): the SEABAR 2007 data set, the TNO Blind 2008 data set, and a new blind data set provided by Metron in 2009.

Maximum likelihood probabilistic data association tracker applied to bistatic sonar data sets