Compressive sensing applied to homeland security

Abstract

Sensing applications in Homeland Security have increasingly emphasized the use of high frequency RF such as the millimeter and terahertz bands. These sensors implement both imaging and spectroscopic systems. Currently envisioned applications have run into practical limitations regarding the implementation of classic sensor configurations such as standard focal plane arrays or spectrometers. Compressive sensing offers an alternative architecture for remote, distributed and networked sensors that may significantly alleviate the current limitations on Homeland Security applications. This paper considers the measurement matrix and reconstruction algorithms appropriate to this application. Data for spectroscopic and imaging applications is presented.