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A probability-based sea clutter suppression method for polarimetric weather radar systems

机译:基于概率的极化天气雷达系统海杂波抑制方法

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Beyond calibration, the mitigation and suppression of clutter signals is still a challenge in radar remote sensing. The weather radar market trend (for aviation and hydrological/meteorological applications) shows explicitly that the decision for polarimetric radar systems is continuously increasing, since the potential capabilities and benefits of dual-polarization radar systems are well known. This publication presents an automatic discrimination method between weather and sea clutter based on multi-parameter polar datasets (Doppler and polarimetric) as well as the generation of a sea clutter probability index. Additionally, a new polar-based clutter type map will be introduced and the suppression of sea clutter signals outlined.
机译:除校准外,减轻和抑制杂波信号仍然是雷达遥感的挑战。天气雷达市场趋势(针对航空和水文/气象应用)明确表明,由于双极化雷达系统的潜在功能和优势众所周知,因此极化雷达系统的决策正在不断增加。该出版物提出了一种基于多参数极坐标数据集(多普勒和极化)的天气与海杂波之间的自动判别方法,以及海杂波概率指数的生成。另外,将引入新的基于极地的杂波类型图,并概述了对海杂波信号的抑制。

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