Waveforms in virtual tomographic arrays

Abstract

Distributed sensing systems incorporating RF tomography allow a trade-off between spatial and spectral diversity, however a large number of widely spaced sensors is conventionally thought to be required. A practical method of reducing the number of sensor nodes is introduced via the concept of the virtual tomographic array. Furthermore, the geometry of this virtual array is electronically reconfigurable. Optimal resource allocation is accomplished instantaneously, with dynamic control based upon matching sensing modalities to site specific target and clutter observables.