Steven Schoenecker

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The Gaussian Mixture Cardinalized PHD (GM-CPHD) Tracker was applied to the SEABAR07 and to the “blind” TNO dataset from the MSTWG (Multistatic Tracking Working Group). The Maximum-Likelihood Probabilistic Data Association (MLPDA) batch tracker was applied to the TNO dataset only. The tracking results (plots and MOPs) are given.
The Maximum Likelihood Probabilistic Data Association (ML-PDA) tracker and the Maximum Likelihood Probabilistic Multi-Hypothesis (ML-PMHT) tracker are applied to five synthetic benchmark multistatic active sonar scenarios featuring multiple targets, multiple sources and multiple receivers. For each of the scenarios, Monte Carlo testing is performed to(More)
The Maximum Likelihood Probabilistic Data Association (ML-PDA) tracker and the Maximum Likelihood Probabilistic Multi-Hypothesis (ML-PMHT) tracker were applied to five synthetic multistatic active sonar scenarios featuring multiple targets, multiple sources, and multiple receivers. For each of the scenarios, Monte Carlo testing was performed to quantify the(More)
The Gaussian Mixture Cardinalized Probability Hypothesis Density (GM-CPHD) Tracker and the Maximum Likelihood-Probabilistic Data Association (ML-PDA) Tracker were applied to the Metron simulated multi-static sonar dataset created for the MSTWG (Multistatic Tracking Working Group). The large number of measurements at each scan was a problem for the GM-CPHD.(More)
The Maximum Likelihood Probabilistic Data Association (ML-PDA) tracker and the Maximum Likelihood Probabilistic Multi-Hypothesis (ML-PMHT) tracker are tested in their capacity as algorithms for very low observable targets (VLO, meaning 6 dB post-signal-processing or even less) and are then applied to five synthetic benchmark multistatic active sonar(More)
In the field of target tracking, a tremendous amount of work has been done on designing and implementing algorithms. However, much less work has been performed on analyzing whether, for a given target in a given environment, tracking is possible at all. Our recent work developed a framework to answer just that. But the only clutter amplitude model it could(More)
Many acoustic channels suffer from interference which is neither narrowband nor impulsive. This relatively long duration partial band interference can be particularly detrimental to system performance. We survey recent work in interference mitigation as background motivation to develop a spatial diversity receiver for use in underwater networks and compare(More)