A Study on the Moving Source Tracking Used CTA in a Range Independant Environment
The objectives of Matched Field Processing(MFP) include source detection and localization or the estimation of parameters in the ocean waveguide. It is generalized beamforming method which uses the spatial complexities of acoustic fields in the ocean waveguide.
In this thesis, MFP for locating an acoustic point source in the ocean using vertical array is extended to moving source tracking problem. For this purpose, The simulation experiments were attended by using a shallow water environment. The replica field were calculated by KRAKEN acoustic propagation model. For simulation of moving source, the following assumptions are made. (1) Source trajectories distributed in fixed region, (2) source depth is fixed and move in straight lines, (3) source speed and source level is constant. In these assumption, moving sources are modeled as sequential point sources on rectangular grid. This study used Bartlett, MV, RMV methods for matching processor and applied conventional tracking algorithm(CTA).
Based on simulation experiment, the CTA results show that all of matching processor accurately estimated to moving source tracking. Consequently, this thesis have showed that MFP can be applied to moving source tracking problem.