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The application of unsupervised clustering in radar signal preselection based on DOA parameters

  • Xiang Peng Zhu*
  • , Ming Jin
  • , Wei Qiang Qian
  • , Shuai Liu
  • , Yu Mei Wei
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

With the deterioration of electronic environment, using signals DOA (direction of arrival) parameters has great significance to preselect multiple radar pulses. Cluster analysis as an important means of data classification, is gradually applied to radar signal sorting. In this paper, a novel method of signal sorting flowsheet is proposed based on Fuzzy Clustering to sort emitters DOA as data objects, with dynamic clustering for reference and Gaussian distance function instead of Euclidean distance. This method avoids establishing enormous similar matrix and adapt to the change of the number of emitters. The result of simulation demonstrates that this method is effective.

Original languageEnglish
Title of host publicationProceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
Pages956-959
Number of pages4
DOIs
StatePublished - 2010
Event1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 - Harbin, China
Duration: 17 Sep 201019 Sep 2010

Publication series

NameProceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010

Conference

Conference1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
Country/TerritoryChina
CityHarbin
Period17/09/1019/09/10

Keywords

  • Direction of arrival
  • Fuzzy clustering
  • Radar signal preselection

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