Research on fuzzy logic PIO detector

Yan Shi-wei, Tian Fu-li, Gao Zheng-hong, Liu Yan

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

Abstract

PIO detector is a kind of pattern-recognition method, which generally consists of data acquisition, data preprocess, feature extraction and classifying decision. Using SFTF and wavelet transform to extract the features of PIO events, and then optimize the membership functions of fuzzy PIO detector with fuzzy clustering algorithm. The detector results show this method is effective.

Original languageEnglish
Title of host publicationICAS Secretariat - 26th Congress of International Council of the Aeronautical Sciences 2008, ICAS 2008
Pages2692-2698
Number of pages7
StatePublished - 2008
Event26th Congress of International Council of the Aeronautical Sciences 2008, ICAS 2008 - Anchorage, AK, United States
Duration: 14 Sep 200819 Sep 2008

Publication series

NameICAS Secretariat - 26th Congress of International Council of the Aeronautical Sciences 2008, ICAS 2008
Volume3

Conference

Conference26th Congress of International Council of the Aeronautical Sciences 2008, ICAS 2008
Country/TerritoryUnited States
CityAnchorage, AK
Period14/09/0819/09/08

Keywords

  • Fuzzy Clustering Analysis
  • Fuzzy Logic
  • PIO
  • Shot Time Fourier Transform (STFT)
  • Wavelet Time-Frequency Analysis

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