ABSTRACT
Sonar performance models also support various naval underwater acoustic surveillance activities. In essence, engagement models use sonar detection performance data to simulate integrated system performance. The ultimate purpose of sonar performance modeling is twofold. Advanced sonar concepts can be optimally designed to exploit the ocean environment of interest. Existing sonars can be optimized for operation in any given ocean environment. Sonar performance models use active and passive sonar equations to generate performance predictions. Sonar performance models can logically be separated into active and passive sonar models, as would be suggested by the distinction between active and passive sonar equations. The lower level of investigation involves computation of the signal, noise, reverberation, target echo, and detection threshold. Specific subjects addressed in this chapter include adjoint methods, stochastic resonance, pulse propagation, multiple-input/multiple-output, clutter environments, vectors and clusters, and high-frequency acoustics. Stochastic resonance was applied to enhance the detection of target signals masked by shallow-water reverberation.
