Title :
Model-based processing for a large aperture array
Author :
Candy, J.V. ; Sullivan, E.J.
Author_Institution :
Lawerence Livermore Nat. Lab., California Univ., CA, USA
fDate :
10/1/1994 12:00:00 AM
Abstract :
A model-based approach to solve a deep water ocean acoustic signal processing problem based on a state-space representation of the normal-mode propagation model is developed. The design of a model-based processor (MBP) for signal enhancement employing an array consisting of a large number of sensors for a deep ocean surveillance operation is discussed. The processor provides enhanced estimates of the measured pressure-field, modes, and residual (innovations) sequence indicating the performance or adequacy of the propagation model relative to the data. It is shown that due to the structure of the normal-mode model the state-space propagator is not only feasible for this large scale problem, but in fact, can be implemented by a set of decoupled parallel second-order processors, implying a real-time capability. In the paper we discuss the design and application of the processor to a realistic set of simulated pressure-field data developed from a set of experiments and sound speed parameters
Keywords :
acoustic signal processing; digital simulation; oceanographic techniques; state-space methods; underwater sound; deep ocean surveillance; deep water ocean acoustic signal processing; measured pressure-field; model-based processing; model-based processor; normal-mode propagation model; signal enhancement; simulated pressure-field data; sound speed parameters; state-space propagator; state-space representation; Acoustic propagation; Acoustic sensors; Acoustic signal processing; Apertures; Oceans; Sea measurements; Sensor arrays; Signal design; Signal processing; Surveillance;
Journal_Title :
Oceanic Engineering, IEEE Journal of
