双基地雷达Radon-Fourier变换弱目标积累检测

林春风 黄春琳 粟毅

林春风, 黄春琳, 粟毅. 双基地雷达Radon-Fourier变换弱目标积累检测[J]. 雷达学报, 2016, 5(5): 526-530. doi: 10.12000/JR16049
引用本文: 林春风, 黄春琳, 粟毅. 双基地雷达Radon-Fourier变换弱目标积累检测[J]. 雷达学报, 2016, 5(5): 526-530. doi: 10.12000/JR16049
Lin Chunfeng, Huang Chunlin, Su Yi. Target Integration and Detection with the Radon-Fourier Transform for Bistatic Radar[J]. Journal of Radars, 2016, 5(5): 526-530. doi: 10.12000/JR16049
Citation: Lin Chunfeng, Huang Chunlin, Su Yi. Target Integration and Detection with the Radon-Fourier Transform for Bistatic Radar[J]. Journal of Radars, 2016, 5(5): 526-530. doi: 10.12000/JR16049

双基地雷达Radon-Fourier变换弱目标积累检测

doi: 10.12000/JR16049
基金项目: 

国家自然科学基金(61372160),国防科技大学创新基金(2100040316001)

详细信息
    通讯作者:

    林春风297041767@qq.com

Target Integration and Detection with the Radon-Fourier Transform for Bistatic Radar

Funds: 

The National Natural Science Foundation of China (61372160)

  • 摘要: 增加信号相参积累时间能够提高弱目标检测能力。双基地雷达长时间相参积累的关键是解决非线性相位回波的目标运动补偿问题。在波束影响可忽略的情况下,该文提出了双基地雷达距离-速度域Radon-Fourier变换(RFT)处理方法。该方法通过频域联合搜索双基地距离和速度参数空间,完成距离走动校正与脉冲积累。理论分析和仿真实验证明了其有效性。

     

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出版历程
  • 收稿日期:  2016-03-02
  • 修回日期:  2016-05-10

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