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Application of genetic algorithm in high frequency 2-D scattering signatures analysis

  • Jun Zheng*
  • , Donglin Su
  • , Yan Liu
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

To investigate the scattering features of radar target in high frequency, a joint time-frequency analysis method---the adaptive Gaussian basis representation (AGR) was introduced to simplify the 2-D scattering parameter model. To estimate the model parameters, Genetic algorithm (GA) was proposed. This method takes full advantage of GA's inherent parallelism and solves the estimation problem of the equivalent scattering center. The simulation results show that this simplified 2-D scattering model may not only discriminate localized scattering centers of the radar target, but also present distributed scattering centers of definite length. In terms of the extraction of scattering features using this 2-D scattering model, and this method can estimate all parameters of scattering centers correctly on condition of no noise, at this time it has a good performance of estimating the position of initial scattering centers and eliminating the noise in the low signal to noise rate (SNR). The analysis using the above 2-D scattering model is correct and feasible.

Original languageEnglish
Pages (from-to)520-523
Number of pages4
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume31
Issue number5
StatePublished - May 2005

Keywords

  • Genetic algorithm
  • Multi-scattering centers
  • Parameter estimation
  • Scattering inverse problems
  • Time-frequency analysis

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