Detection and Localization of High-Frequency Interception Signals using Compressive Sensing

Abstract

We investigate detection and localization of high-frequency interception signals underwater using a fairly new framework known as Compressive Sensing. Within this framework we can sample at sub-Nyquist rate and still be able to reconstruct the signal. Compressive methods are proposed as an alternative to traditional methods to lever the computational burden by reducing the data rate by a significant amount. We use existing theory and develop methods to apply Compressive Sensing to the case of detection and localization of high-frequency interception signals. Provided simulations on synthetic and real data verifies the existence of this use.