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Two New Approaches for Detecting a Maneuvering Air Target in Strong Sea-Clutter

机译:在强海杂波中检测机动空气目标的两种新方法

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Two new approaches for detecting a maneuvering air target in strong sea-clutter are proposed in this paper. One is based on the adaptive chirplet decomposition, and the other is inspired by the spectral subtraction. Experiments with real-world data samples show that both methods presented in this paper can effectively enhance the Doppler radar signals from maneuvering air targets though each has different strength and weakness.
机译:本文提出了两种检测强海杂波中的机动空气目标的新方法。一个基于自适应啁啾分解,另一个由光谱减法的启发。具有现实世界数据样本的实验表明,本文介绍的两种方法都可以有效地增强了从机动空气目标的多普勒雷达信号,尽管各自具有不同的强度和弱点。

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