基于知识的OTH雷达船舶检测自适应处理

G. Fabrizio, A. Farina, A. De Maio
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引用次数: 4

摘要

本文研究了高频超视距雷达的自适应多普勒处理,以提高对慢速船舶的杂波检测能力。提出了一种基于知识的自适应检测方法,该方法利用附加信息来识别每个雷达分辨率单元(即陆地、海洋或陆地加海洋)中散射杂波的表面,以指导自适应算法训练数据的选择。将KB方案的实际性能与传统的基于fft的多普勒处理和不利用附加信息的传统自适应算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-Based Adaptive Processing for Ship Detection in OTH Radar
This paper is concerned with adaptive Doppler processing in high frequency (HF) over-the-horizon (OTH) radar to improve the detection of slow-moving ships against clutter. A knowledge-based adaptive detection approach that exploits additional information to identify the surfaces that scatter clutter in each radar resolution cell (i.e. land, sea or land-plus-sea) is proposed to guide the selection of training data for the adaptive algorithm. The practical performance of the KB scheme is compared with conventional FFT-based Doppler processing and a traditional adaptive algorithm that does not exploit additional information.
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