Single-vector-sensor blind-identification for noncircular signals in the presence of colored-noise

Yougen Xu*, Zhiwen Liu

*Corresponding author for this work

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

Abstract

The presence of colored-noise (the noise at different elements are correlated and/or have distinct variances) is often the case in vector-sensor array signal processing. In this paper, we develop two types of blind identification algorithms to extract the desired noncircular signals and/or their DOA's from data contaminated by uncorrelated interferences and correlated interferences, respectively, in the presence of colored-noise. The former is based on the second-order- statistics (SOS) only, whereas the latter involves both the SOS and the higher-order-statistics (HOS). The desired steering-vectors or array response are blindly estimated via regularized ESPRIT in both blind identification algorithms. Simulation results are given to evaluate the proposed blind identification algorithms and compare them with the existing pure-HOS-based counterpart.

Original languageEnglish
Title of host publication8th International Conference on Signal Processing, ICSP 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780397371, 9780780397378
DOIs
Publication statusPublished - 2006
Event8th International Conference on Signal Processing, ICSP 2006 - Guilin, China
Duration: 16 Nov 200620 Nov 2006

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume1

Conference

Conference8th International Conference on Signal Processing, ICSP 2006
Country/TerritoryChina
CityGuilin
Period16/11/0620/11/06

Keywords

  • Acoustic vector-sensor
  • Antenna arrays
  • Array signal processing
  • Blind identification

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