Parameter estimation of distributed sources with electromagnetic vector sensors

  • Xiumin Shi*
  • , Yuanyuan Wang
  • *Corresponding author for this work

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

7 Citations (Scopus)

Abstract

We consider the problem of estimating the parameters of distributed signals with electromagnetic vector sensors. In this paper, we consider situations where the sources are distributed not only in space with deterministic angular signal density, but also in polarization with partially polarized components. A distributed signals general model with polarization sensitive sensor array (PSADIS-model) is first established with some reasonable assumptions. We propose an algorithm that estimates the parameters with this model based on the generalization MUSIC algorithm. We compare our method to the distributed signal parameter estimator (DSPE), and the simulation studies show significant advantages in using the proposed PSADIS-model with electromagnetic vector sensors. The simulation studies show that the new method outperforms the DSPE algorithm by improving resolution performance for scenario with distributed sources.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages203-206
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

  • Direction of arrival
  • Distributed source
  • Electromagnetic vector sensors
  • Partially polarized signal
  • Polarization sensitive array

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