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基于多帧数据联合处理的机载单通道雷达贝叶斯前视成像

陈洪猛 李明 王泽玉 卢云龙 张鹏 左磊

陈洪猛, 李明, 王泽玉, 卢云龙, 张鹏, 左磊. 基于多帧数据联合处理的机载单通道雷达贝叶斯前视成像[J]. 电子与信息学报, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153
引用本文: 陈洪猛, 李明, 王泽玉, 卢云龙, 张鹏, 左磊. 基于多帧数据联合处理的机载单通道雷达贝叶斯前视成像[J]. 电子与信息学报, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153
Chen Hong-meng, Li Ming, Wang Ze-Yu, Lu Yun-long, Zhang Peng, Zuo Lei. Bayesian Forward-looking Imaging for Airborne Single-channel Radar Based on Combined Multiple Frames Data[J]. Journal of Electronics and Information Technology, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153
Citation: Chen Hong-meng, Li Ming, Wang Ze-Yu, Lu Yun-long, Zhang Peng, Zuo Lei. Bayesian Forward-looking Imaging for Airborne Single-channel Radar Based on Combined Multiple Frames Data[J]. Journal of Electronics and Information Technology, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153

基于多帧数据联合处理的机载单通道雷达贝叶斯前视成像

doi: 10.11999/JEIT150153
基金项目: 

国家自然科学基金(61271297, 61272281, 61301284)和博士学科点科研专项基金(20110203110001)资助课题

Bayesian Forward-looking Imaging for Airborne Single-channel Radar Based on Combined Multiple Frames Data

Funds: 

The National Natural Science Foundation of China (61271297, 61272281, 61301284)

  • 摘要: 针对机载单通道雷达前视分辨率不高的问题,该文提出一种基于多帧数据联合处理的贝叶斯前视成像方法。该文首先建立高斯背景下的前视回波信号模型,然后将散射场景的处理空间由单帧波束域的低维空间扩展到多帧波束域联合而成的高维空间以增加其空域稀疏性,并对散射场景的稀疏性进行统计建模。最后基于贝叶斯理论,将前视条件下的雷达成像转化为贝叶斯准则下的优化问题,并通过共轭梯度算法进行优化求解。在优化求解时,稀疏统计参数从数据迭代过程中估计得到。仿真结果和实测数据表明该方法不仅可以对前视场景进行高分辨成像,还可以抑制虚假散射点。
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出版历程
  • 收稿日期:  2015-01-27
  • 修回日期:  2015-04-20
  • 刊出日期:  2015-10-19

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