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Radar Target Detection Using Target Features and Artificial Intelligence

机译:利用目标特征和人工智能进行雷达目标检测

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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:提出并研究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。传统的雷达杂波和干扰目标检测是通过在目标检测之前通过滤波消除杂波和干扰来实现的。这种既保持目标又保持干扰的新颖方法,是利用人工智能技术基于可区分的目标和干扰特征来识别和检测目标的。所提出的方法对环境变化同样有效并且更健壮,并且可以替代所有雷达平台的传统基于滤波的检测方法。

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