A simulation of ocean acoustic tomography using matched field processing

Summary form only given, as follows. The authors have applied matched field processing to the tomography problem. Matched field processing conventionally assumes a known sound speed field and attempts to determine the range and depth of an acoustic source. However, the authors assume that they know the source location but not the sound speed field. Because of the complexity of this problem, they have assumed an eddy in an ocean with known sound speed profiles, and they estimate the eddy´s boundaries. They assume one acoustic CW source and a 20-element vertical array (both in the deep sound channel) situated 100 km apart. Three estimators were used: Bucker, Bartlett, and maximum likelihood. The sensitivity of the estimators´ performance to signal-to-noise ratio and noise spatial correlation structure is addressed. The scheme is shown to work when acoustic replica fields were generated using the simple model for the ocean (three known sound speed profiles), and the actual acoustic field was stimulated using a more realistic eddy