An Investigation of the Effects of Factors on Underwater Localization with Low Source Level in Shallow Water

This paper investigates and observes matched field processing method (MFP) for underwater source localization. The article simulates and evaluates the factors that influence source localization errors in a shallow underwater region; such as emitted signal waveforms, season-varying environmental parameters, minimum accurracy of sound speed evaluation and the noise effects in the case of using one hydrophone. Moreover, MFP, using two hydrophones, is also investigated under the influence of Gaussian and Weibull noise model. Beside, the depth adjustment of the two hydrophones is adjusted for localization quality improvement. The obtained results demonstrate that localization results errors are affected by source charactersitics and oceanic environmental parameters in the case of using one hydrophone. The simulation also shows that the depth adjustments yield localization result improvement and the localization errors is more considerably influenced by Weibull noise than by the Gaussian one.