Characterizing Signals Using Nonlinear Dynamical Models

摘要

Develop new Sonar processing and classification methods based on direct estimation of nonlinear dynamical models from scalar signals. This method has the possibility of exploiting both linear and nonlinear signal correlations, as well as deterministic causal information. The goal is to develop numerically efficient, robust classifiers with significantly improved performance for Sonar transients, broadband, and VLF signatures, which can be implemented on existing Navy processing platforms.