Virtual array processing using wideband cyclostationary signals

A new spatio-temporal array signal processing technique for wideband array data is presented that improves the spatial resolution and increases the number of resolvable sources. The method is predicated on digital communication signals that are temporally cyclostationary. We show that the (frequency-dependent) array manifold has a separable representation in the directions of arrival (DOAs) and the array geometry and exploit the structure of the cyclic cross spectral density matrix in order to obtain virtual array "observations" without a priori knowledge of the DOAs.