Determine a proper window length for singular spectrum analysis

Hong Guang Ma, Rong Lei, Xiang Yu Kong, Zhi Qiang Liu, Qin Bo Jiang

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

3 Scopus citations

Abstract

Singular spectrum analysis (SSA) is a powerful method for separating source signals from the mixed signal. There is an important factor when we use SSA extracting each source signal, i.e. we should select a suitable window length for constructing the trajectory matrix. If the window length were not properly selected, the source signals could not be extracted from the mixed signal. In this paper, we propose a method of selecting the window length to reconstruct the trajectory matrix of mixed signal, based on which, we conduct a SSA-based blind source separation (BSS) test on a mixed signal, which is a mixture of narrowband radio signals. The results indicate the effectiveness of our methods.

Original languageEnglish
Title of host publicationIET International Conference on Radar Systems, Radar 2012
Edition603 CP
DOIs
StatePublished - 2012
EventIET International Conference on Radar Systems, Radar 2012 - Glasgow, United Kingdom
Duration: 22 Oct 201225 Oct 2012

Publication series

NameIET Conference Publications
Number603 CP
Volume2012

Conference

ConferenceIET International Conference on Radar Systems, Radar 2012
Country/TerritoryUnited Kingdom
CityGlasgow
Period22/10/1225/10/12

Keywords

  • Blind source separation (BSS)
  • Singlechannel mixed signal
  • Singular spectrum analysis (SSA)
  • Trajectory matrix reconstruction

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