Polarimetric smoothing revisited: Applicability to Randomly polarized sources and to incomplete electromagnetic vector-sensors

  • Yougen Xu*
  • , Zhiwen Liu
  • , Sichao Fu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Randomly or partially polarized sources occur frequently in practical applications such as radar and modern communications. In this paper, we revisit the polarimetric smoothing technique, which is previously customized for decorrelating completely polarized coherent signals with identically oriented complete electromagnetic (EM) vector-sensors, on its applicability to randomly polarized signals and to incomplete EM vector-sensors instead. It is shown here that polarimetric smoothing can be extended in a rather straightforward way for decorrelating randomly polarized source signals, using either complete or incomplete EM vector-sensors. However, when utilizing incomplete EM vector-sensors for completely polarized signals, polarimetric smoothing may fail to decorrelate signals that have distinct directions of arrival (DOAs) and/or polarizations. Some typical numerical results are also presented to confirm the main points made in the paper.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages328-331
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
Country/TerritoryChina
CityBeijing
Period26/10/0829/10/08

Keywords

  • Array signal processing
  • Direction-of-arrival (DOA) estimation
  • Polarization

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