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Target Detection for Marine Radars Using a Data Matrix Bank Filter

  • Jang, Moon Kwang (Department of Telecommunication & Information Engineering, Korea Aerospace University) ;
  • Cho, Choon Sik (Department of Telecommunication & Information Engineering, Korea Aerospace University)
  • Received : 2013.01.30
  • Accepted : 2013.06.10
  • Published : 2013.09.30

Abstract

Marine radars are affected by sea and rain clutters, which can make target discrimination difficult. The clutter standard deviation and improvement factor are applied using multiple parameters-moving speed of radar, antenna speed, angle, etc. When a radar signal is processed, a Data Matrix Bank (DMB) filter can be applied to remove sea clutters. This filter allows detection of a target, and since it is not affected by changes in adjacent clutters resulting from a multi- target signal, sea state clutters can be removed. In this paper, we study the level for clutter removal and the method for target detection. In addition, we design a signal processing algorithm for marine radars, analyze the performance of the DMB filter algorithm, and provide a DMB filter algorithm design. We also perform a DMB filter algorithm analysis and simulation, and then apply this to the DMB filter and cell-average constant false alarm rate design to show comparative results.

Keywords

References

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