Linear prediction approach for accurate dual-channel sine-wave parameter estimation in White Gaussian noise

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Scopus Citations
Scopus Metrics
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)641-644
Journal / PublicationETRI Journal
Volume34
Issue number4
Publication statusPublished - Aug 2012

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84864937537&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(3ded05a3-f92e-4e23-af1c-c80e336007c7).html

Abstract

The problem of sinusoidal parameter estimation at two channels with common frequency in white Gaussian noise is addressed. By making use of the linear prediction property, an iterative linear least squares (LLS) algorithm for accurate frequency estimation is devised. The remaining parameters are then determined according to the LLS fit with the use of the frequency estimate. It is proven that the variance of the frequency estimate achieves Cramér-Rao lower bound at sufficiently small noise conditions. © 2012 ETRI.

Research Area(s)

  • Dual-channel, Least squares, Linear prediction, Sinusoidal parameter estimation

Fingerprint

Publication fingerprints text

100
Parameter Estimatio... Engineering
100
Least Square Engineering
100
Gaussian White Nois... Engineering
100
Frequency Estimate Engineering
50
Frequency Estimatio... Engineering
50
Cramr-Rao Lower Bou... Engineering
Full Fingerprint ›

Citation Format(s)

[ RIS ] [ BibTeX ]
Linear prediction approach for accurate dual-channel sine-wave parameter estimation in White Gaussian noise. / So, Hing-Cheung; Zhou, Zhenhua.
In: ETRI Journal, Vol. 34, No. 4, 08.2012, p. 641-644.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review