Abstract
An ESPRIT (estimation of signal parameters via rotational invariance techniques) like algorithm for estimating the direction-of-arrival (DOA) of nonstationary polarized signals is developed. This algorithm relies on the recently introduced spatial polarimetric time-frequency distributions (SPTFD) as a platform to provide low computational, high resolution direction finding. The use of dual polarizations empowers the SPTFD with additional degrees-of-freedom, and improves the robustness of both the signal and noise subspaces. This improvement serves to enhance the DOA estimation, signal recovery, and source separation. In this paper the SPTFD are applied to the ESPRIT algorithm for improved angle-of-arrival estimation. Simulation results are provided which demonstrate the polarimetric time-frequency (PTF) ESPRIT resolution enhancement over the conventional ESPRIT, polarized ESPRIT, and time-frequency ESPRIT.
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