Directions-of-arrival tracking of coherent cyclostationary signals without eigendecomposition

Jingmin Xin, H. Tsuji, H. Ohmori, A. Sano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

By exploiting the cyclostationarity exhibited by most communication signals, we propose a computationally efficient method for estimating the directions-of-arrival (DOA) of coherent narrowband signals impinging on a uniform linear array without eigendecomposition and spatial smoothing processes. An online implementation of this method is proposed for tracking the DOA of moving signals in a multipath propagation environment. In the proposed algorithm, a combination of the cyclostationarity and a subarray scheme are used to decorrelate the signal coherency and to suppress the noise and interfering signals, while the noise subspace is estimated from the resulting cyclic correlation matrix through a linear operation. As a result, the proposed algorithm has the advantages of computational simplicity and robust detection capability.

Original languageEnglish
Title of host publication2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages318-321
Number of pages4
ISBN (Electronic)0780367200
DOIs
Publication statusPublished - 2001 Jan 1
Event3rd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001 - Taoyuan, Taiwan, Province of China
Duration: 2001 Mar 202001 Mar 23

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2001-January

Other

Other3rd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001
Country/TerritoryTaiwan, Province of China
CityTaoyuan
Period01/3/2001/3/23

Keywords

  • Array signal processing
  • Covariance matrix
  • Decorrelation
  • Direction of arrival estimation
  • Narrowband
  • Sensor arrays
  • Signal processing
  • Signal processing algorithms
  • Smoothing methods
  • Working environment noise

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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