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首页> 外文会议>International Conference on Signal Processing and Communication Systems >Forward-Looking Clutter Suppression Approach of Airborne Radar Based on KA-JDL Algorithm of Object Filtering
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Forward-Looking Clutter Suppression Approach of Airborne Radar Based on KA-JDL Algorithm of Object Filtering

机译：基于目标滤波的KA-JDL算法的机载雷达前瞻杂波抑制方法

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摘要

When airborne radar works on former mode, short-range clutter presents eyebrow shape curve and has the strong non-uniform, and clutter suppression is more difficult. Thus, the adaptive clutter suppression of forward-looking airborne radar for non-uniform clutter is a difficult question. Firstly, the use of a grid map method is taken for airborne radar forward-looking clutter model simulation analysis. Secondly, the forward-looking clutter suppression approach of airborne radar based on Knowledge-Aided Joint-Domain Localized (KA-JDL) algorithm of object filtering is proposed in this paper. Lastly, this new clutter suppression method is verified by the measured data. The experimental result shows that this method can suppress effectively the clutter compared with traditional JDL. It achieved a performance improvement of2-3dB.
机译：机载雷达在原模式下工作时，近距离杂波呈现出眉形曲线，具有很强的不均匀性，抑制杂波更加困难。因此，针对不均匀杂波的前瞻性机载雷达的自适应杂波抑制是一个难题。首先，利用网格图法对机载雷达前瞻性杂波模型进行仿真分析。其次，提出了一种基于目标滤波的知识联合联合域局部化（KA-JDL）算法的机载雷达前瞻性杂波抑制方法。最后，通过测量数据验证了这种新的杂波抑制方法。实验结果表明，与传统的JDL相比，该方法可以有效地抑制杂波。它的性能提高了2-3dB。

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