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System parameter optimisation for moving target detection and imaging in multi-band synthetic aperture radar based on genetic algorithm

  • Jinwei Wang
  • , Feng Zhou
  • , Mingliang Tao
  • , Zijing Zhang
  • , Guangcai Sun
  • Xidian University

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

To overcome the shortcomings of the conventional moving target detection method in single-channel synthetic aperture radar (SAR), this study proposes a novel method for moving target detection in single-channel multi-band SAR. In this method, according to the detectable velocity in different bands, the genetic algorithm is applied to optimise the choice of radar band parameters, for example, wavelength and pulse repetition frequency. With the obtained optimal parameter combinations, the multi-band SAR system could achieve the highest velocity detection rate and the maximal bands utilisation rate. Then, moving target detection, imaging and location could be accomplished with the radon transform and the deramp method. Finally, simulation results are presented to demonstrate the effectiveness and feasibility of the proposed method.

Original languageEnglish
Pages (from-to)146-154
Number of pages9
JournalIET Radar, Sonar and Navigation
Volume10
Issue number1
DOIs
StatePublished - 1 Jan 2016
Externally publishedYes

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