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Signal-subspace spatial-spectrum estimator based on frequency domain model for wide-band sources

  • Northwestern Polytechnical University Xian

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

Abstract

A novel approach to estimate spatial spectrum of multiple wide-band sources is proposed in this paper, which is termed signal-subspace spatial-spectrum estimator based on frequency domain model (SSEFD). Firstly, the noise-subspace frequency invariability of wide-band signals is proved by analyzing the eigenstructure of the covariance matrix of wide-band signals. The wide-band spatial spectrum is defined by the frequency invariability of noise subspace. Then a method based on Buckley's BASS-ALE is presented to solve frequency-direction ambiguity when applying new approach to a uniform linear array. At last, the performance of SSEFD is compared to that of Wang's CSS by computer simulation. The results show the superior of the new approach.

Original languageEnglish
Title of host publication2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages415-418
Number of pages4
ISBN (Print)0780384067
DOIs
StatePublished - 2004
Event7th International Conference on Signal Processing, ICSP 2004 - Beijing, China
Duration: 31 Aug 20044 Sep 2004

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume1
ISSN (Print)2164-5221
ISSN (Electronic)2164-523X

Conference

Conference7th International Conference on Signal Processing, ICSP 2004
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

Keywords

  • Frequency Domain Modeling
  • Signal Subspace
  • Spatial Spectrum Estimator
  • Wide-Band Sources

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