One-dimensional image recognition of radar target based on particle swarm classifier

Xiao Hui Xu, An Zhang, You Yi Jiang, Qin Xia Hao

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A novel particle swarm classifier is designed for one-dimensional image recognition of radar target. After pretreating the data, the classification rules are discovered by particle swarm optimization algorithm based on the training samples, and then the one-dimensional image of radar target is recognized by the discovered rules. The convergence of the new algorithm based on Bayes's theorem and stochastic transform process are analyzed. Experimental results on the data of three airplanes obtained in a microwave anechoic chamber show that the proposed method has a stable performance in recognizing both the one-dimensional images without noise and the one-dimensional images with noise.

Original languageEnglish
Pages (from-to)2157-2162
Number of pages6
JournalGuangzi Xuebao/Acta Photonica Sinica
Volume36
Issue number11
StatePublished - Nov 2007

Keywords

  • Data classification
  • One-dimensional image recognition of radar target
  • Particle swarm optimization

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