Phase space analysis and classification of sonar echoes in shallow-water channels

摘要: A primary objective of active sonar systems is to detect, locate, and classify objects, such as mines, ships, biologics, based on their backscatter. shallow-water ocean channel a challenging environment in which echoes because interactions the signal with surface bottom induce frequency-dependent changes (especially dispersion damping) it propagates, effects typically grow range. Accordingly, observed depends not only initial target backscatter, but also propagation how far has propagated. These can increase variability degrade classification performance. Furthermore, uncertainty exact random variations within cause features extracted from received echo behave variables.With goal improving environments, this work develops phase space framework for studying sound channels damping. This approach leads new moment that are invariant damping, utility demonstrated via simulation. In addition, accuracy previously developed approximation method range-independent pulse analyzed shown be greater than standard stationary both large small times/distances. The extended range dependent propagation. Finally, used investigate nature by calculating moments under uncertain assumptions. estimate probability distribution functions features, we explore several ways information may improve