Exploitation of Nonlinear Wave Phenomena in Sensing and Communication

"Fundamental defense applications ranging from communications to remote sensing systems exploit the information content of acoustic electromagnetic signals and waves. In practice, both intentional and unintentional nonlinear interactions play significantperformance determining roles in the systems responsible for generation, transmission, reception, processing, and analysis of the signals.Analytic and numerical tools for understanding the detailed nature and systems level impact of these nonlinear phenomena are critically needed for a spectrum of applications ranging from controlling intermodulation distortion in novel amplifier designs tothe solution of inverse scattering problems associated with surveillance problems.Present modeling and design capabilities are impeded by the high computational complexity of current models and data analysis techniques in these arenas. The goal of this research will be the development and validation of efficient new numerical and dataanalytic tools for empirical real time modeling of nonlinear interactions between electromagnetic or acoustic waves, and demonstration in applications of defense interest. The goal is to achieve efficient decomposition of complex interaction anddimensionality reduction in representations of nonlinear devices and systems. The resulting representations should be capable of providing an effective and affordable "fingerprinting" of nonlinear effects encountered in systems of interest to the DoD. Present modeling and design capabilities are impeded by the high computational complexity of current models and data analysis techniques in these arenas. The goal of this research will be the development and validation of efficient new numerical and dataanalytic tools for empirical real time modeling of nonlinear interactions between electromagnetic or acoustic waves, and demonstration in applications of defense interest. The goal is to achieve efficient decomposition of complex interaction anddimensionality reduction in representations of nonlinear devices and systems. The result