Investigation of initial detection models in the Search and Localization Tactical Decision Aid (SALT)

Abstract

The goal of this thesis is to investigate the initial search planning phase of the Search and Localization Tactical Decision Aid (SALT) developed by METRON, Incorporated of McLean, VA. SALT is a Computer Assisted Search (CAS) program intended for use by P3 UPDATE IV crews to assist them in optimal deployment of a sonobuoy field to prosecute a submarine threat. The initial search planning phase of SALT takes as user inputs environmental data, an initial elliptical Search Probability Area, an assumed target motion model, and the duration of the search. Outputs include a recommended sonobuoy pattern and the probability of detection of this pattern. The investigation of this phase of the algorithm is conducted in two parts. First, a series of simulation routines is used to ensure that the probability of detection of the sonobuoy patterns generated by SALT is mathematically correct. Second, these same computerized simulation routines are used to determine if there are alternate sonobuoy patterns that result in higher probabilities of detection.