Polarization - Angle-Frequency Estimation Using Nested Vector Sensor Arrays

摘要

A computationally efficient polarization-angle-frequency estimation algorithm based on spatial-temporal nested sampling is proposed. Radar cross-sections (RCSs) diversity in multiple CPIs is exploited to construct a virtual polarization-spatial-temporal (PST) manifold with extended degree of freedom. A computational efficient method without eigen-decomposition is derived to estimate K-R signal subspace. Automatically paired polarization, azimuth-elevation angles and doppler frequency estimates are obtained by exploiting the idea of the ESPRIT algorithm.