| Target Detection for Marine Radars Using a Data Matrix Bank Filter |
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Moon Kwang Jang, Choon Sik Cho |
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Department of Telecommunication & Information Engineering, Korea Aerospace University |
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| Abstract |
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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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