基于目标滤波KA-JDL算法的机载雷达前视杂波抑制方法

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI:10.1109/ICSPCS.2018.8631757

Dongmei Guo, Yajun Li, Zhuoqun Wang, Sheng Shao, Shuangshuang Li, Jinguo Xiao

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引用次数: 1

摘要

机载雷达工作在前一模式时，近程杂波呈现眉形曲线，具有较强的非均匀性，杂波抑制难度较大。因此，前视机载雷达对非均匀杂波的自适应抑制是一个难题。首先，采用网格图方法对机载雷达前视杂波模型进行仿真分析。其次，提出了一种基于知识辅助联合域局部化目标滤波算法的机载雷达前视杂波抑制方法。最后，用实测数据验证了该方法的有效性。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。它实现了2- 3db的性能改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Forward-Looking Clutter Suppression Approach of Airborne Radar Based on KA-JDL Algorithm of Object Filtering

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.

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来源期刊

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)

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