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J Electromagn Eng Sci > Volume 13(3); 2013 > Article
Journal of Electromagnetic Engineering and Science 2013;13(3):151-157.
DOI: https://doi.org/10.5515/JKIEES.2013.13.3.151   
Target Detection for Marine Radars Using a Data Matrix Bank Filter
Moon Kwang Jang, Choon Sik Cho
Department of Telecommunication & Information Engineering, Korea Aerospace University
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.
Key words: Cell-Average Constant False Alarm Rate, Clutter Standard Deviation, Data Matrix Bank Filter, Improvement Factor, Marine Radar, Rain Clutter, Sea Clutter

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