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基于频域分块RDS-LMS算法的机载外辐射源雷达杂波对消

杨鹏程 吕晓德 柴致海 张丹 岳琦 杨璟茂

杨鹏程, 吕晓德, 柴致海, 张丹, 岳琦, 杨璟茂. 基于频域分块RDS-LMS算法的机载外辐射源雷达杂波对消[J]. 电子与信息学报, 2017, 39(10): 2302-2310. doi: 10.11999/JEIT170190
引用本文: 杨鹏程, 吕晓德, 柴致海, 张丹, 岳琦, 杨璟茂. 基于频域分块RDS-LMS算法的机载外辐射源雷达杂波对消[J]. 电子与信息学报, 2017, 39(10): 2302-2310. doi: 10.11999/JEIT170190
YANG Pengcheng, Lü Xiaode, CHAI Zhihai, ZHANG Dan, YUE Qi, YANG Jingmao. Clutter Cancellation for Airborne Passive Radar Based on Frequency-domain Block RDS-LMS Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2302-2310. doi: 10.11999/JEIT170190
Citation: YANG Pengcheng, Lü Xiaode, CHAI Zhihai, ZHANG Dan, YUE Qi, YANG Jingmao. Clutter Cancellation for Airborne Passive Radar Based on Frequency-domain Block RDS-LMS Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2302-2310. doi: 10.11999/JEIT170190

基于频域分块RDS-LMS算法的机载外辐射源雷达杂波对消

doi: 10.11999/JEIT170190

Clutter Cancellation for Airborne Passive Radar Based on Frequency-domain Block RDS-LMS Algorithm

  • 摘要: 针对机载外辐射源雷达多普勒展宽的杂波对消问题,该文提出频域分块距离-多普勒-空间LMS(RDS-LMS)算法。该算法利用杂波的空时依赖性,沿杂波脊进行对消,避免对杂波多普勒带内目标的对消。通过频域分块处理,减小了迭代次数并可以利用FFT快速实现,降低了算法的计算量。基于实测数据的仿真结果表明:该算法能够有效对消杂波,且对杂波带内的目标影响很小,对径向速度大于10 m/s的目标,信噪比损失在1 dB以内。计算复杂度分析表明:频域分块实现使算法计算量降低了42倍,根据在地基外辐射源雷达中已实时实现的FBLMS算法估算,结合GPU并行处理,该文算法处理1 s数据用时为771 ms,能够满足实时性需求。
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出版历程
  • 收稿日期:  2017-03-02
  • 修回日期:  2017-06-23
  • 刊出日期:  2017-10-19

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