Passive Tracking in Endfire

In this project Wagner Associates, with Pennsylvania State University/Applied Research Laboratory (PSU/ARL) as a subcontractor, will develop Improved End-fire Tracking Algorithms (IETAs) that will accomplish the goals of this R&D project: I. Accurately resolve closely spaced multiple torpedoes in towed array end-fire II. Accurately track closely spaced multiple torpedoes in towed array end-fire III. Generate accurate and timely alerts for torpedoes in towed array end-fire To achieve Goal I we will utilize advanced techniques for estimating the number of objects in end-fire, and for estimating the bearing and spectrum of each object. To achieve Goal II we will take the detection reports produced the signal processing algorithms and maintain tracks over time using multiple hypothesis data fusion, Gaussian sum tracking and Interacting Multiple Model (IMM) target motion models, and Bayesian association techniques. To achieve Goal III we will utilize enhanced Bayesian inference techniques.