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Radar Target Detection Using Target Features and Artificial Intelligence

机译:雷达目标使用目标特征和人工智能检测

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摘要

A new type of radar target detection approach based on target features and artificial intelligence techniques is proposed and investigated in this work. Traditional radar target detection in clutter and interference is achieved by removing clutter and interference through filtering prior to target detection. The novel approach, keeping both targets and interferences, recognizes and detects targets using artificial intelligence techniques based on distinguishable target and interference features. The proposed approach is equally effective and more robust to environmental changes and could replace the traditional filtering-based detection methods for all radar platforms.
机译:提出了一种基于目标特征和人工智能技术的新型雷达目标检测方法,并在这项工作中进行了研究。通过在目标检测之前除去杂波和干扰来实现在杂波和干扰中的传统雷达目标检测。基于可区分目标和干扰特征,新颖的方法,保持目标和干扰,识别和检测目标,识别和检测目标智能技术。建议的方法同样有效,对环境变化更加强劲,可以取代所有雷达平台的传统过滤的检测方法。

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