Two new approaches for detecting a maneuvering air target in strong sea-clutter

Yu Zhang, S. Qian, T. Thayaparan
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Abstract

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.
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强海杂波中机动空中目标探测的两种新方法
本文提出了两种强海杂波条件下机动空中目标探测的新方法。一种是基于自适应小波分解,另一种是受谱减法的启发。实际数据样本实验表明,本文提出的两种方法虽然优缺点不同,但都能有效增强机动空中目标的多普勒雷达信号。
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