Polarimetric time-frequency ESPRIT

Author

Obeidat, Baha A. ; Zhang, Yiman ; Amin, Moeness G.

Author_Institution

Center for Adv. Commun., Villanova Univ., PA, USA

Volume

1

fYear

2003

fDate

9-12 Nov. 2003

Firstpage

1178

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.

Keywords

direction-of-arrival estimation; polarimetry; polarisation; signal resolution; source separation; time-frequency analysis; DOA estimation; angle-of-arrival estimation; direction-of-arrival estimation; estimation of signal parameters via rotational invariance techniques; nonstationary polarized signals; polarimetric time-frequency ESPRIT; source separation; Direction of arrival estimation; Parameter estimation; Polarization; Signal processing algorithms; Signal resolution; Source separation; Spatial resolution; Speech analysis; Speech synthesis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on

Print_ISBN

0-7803-8104-1

Type

conf

DOI

10.1109/ACSSC.2003.1292110

Filename

1292110