Polarimetric Array Processing for Nonstationary Signals

  • Yimin Zhang
  • Moeness G. Amin
  • Baha A. Obeidat
Chapter
Part of the Signals and communication technology book series (SCT)

Abstract

Time-frequency distributions (TFDs) have evolved to be a powerful technique for nonstationary signal analysis and synthesis. With the use of a multi-sensor array, spatial time-frequency distributions (STFDs) have been developed and successfully applied to high-resolution direction-of-arrival (DOA) estimations and blind recovery of the source waveforms. In this paper, we introduce the spatial polarimetric time-frequency distribution (SPTFD) as a platform to process nonstationary array signals with two orthogonal polar-ization components, such as horizontal and vertical. The use of dual polarization empowers the STFDs with additional degrees-of-freedom (D0Fs) and improves the robustness of the signal and noise subspaces. This improvement serves to enhance DOA estimation and signal recovery. To demonstrate the ef-fectiveness of the SPTFD platform, the polarimetric timefrequency ESPRIT (PTF-ESPRIT) method is proposed and is shown to outperform time-fre-quency, polarimetric, and conventional ESPRIT methods.

Keywords

Blind Source Separation Array Processing Noise Subspace Nonstationary Signal IEEE Signal Processing Letter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yimin Zhang
    • 1
  • Moeness G. Amin
    • 1
  • Baha A. Obeidat
    • 1
  1. 1.Center for Advanced CommunicationsVillanova UniversityVillanovaUSA

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