3-D frequency estimation of multiple damped sinusoids using subspace approach

Cao Hui, Wu Yuntao, Zhang Yanbin, Huang Longting

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

1 Scopus citations


In this paper, a computationally efficient method that combines the subspace and principal singular vectors utilization for modal analysis (PUMA) is proposed for 3-D frequency estimation of multiple damped sinusoids. The perspective idea is the construction of 2-D sliced matrices from 3-D sinusoids, and then the 2-D sliced matrices are used to construct a set of covariance matrix to obtain the SVD of each covariance matrix. The available PUMA method is employed to estimate the frequencies and the damped factors in each dimension. Moreover, we can use existing matching algorithms to pair the 3-D frequency parameters. Only the original scale of sampled data is fully utilized, so the proposed method is more computationally attractive than the two existing methods.

Original languageEnglish
Title of host publicationIET International Radar Conference 2013
Edition617 CP
StatePublished - 2013
Externally publishedYes
EventIET International Radar Conference 2013 - Xi'an, China
Duration: 14 Apr 201316 Apr 2013

Publication series

NameIET Conference Publications
Number617 CP


ConferenceIET International Radar Conference 2013


  • 3-D frequency estimation
  • LP (linear prediction)
  • PUMA
  • Subspace approach
  • WLS (weighted least squares)


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