频控阵MIMO雷达中基于稀疏迭代的多维信息联合估计方法

巩朋成 刘刚 黄禾 王文钦

巩朋成, 刘刚, 黄禾, 王文钦. 频控阵MIMO雷达中基于稀疏迭代的多维信息联合估计方法[J]. 雷达学报, 2018, 7(2): 194-201. doi: 10.12000/JR16121
引用本文: 巩朋成, 刘刚, 黄禾, 王文钦. 频控阵MIMO雷达中基于稀疏迭代的多维信息联合估计方法[J]. 雷达学报, 2018, 7(2): 194-201. doi: 10.12000/JR16121
Gong Pengcheng, Liu Gang, Huang He, Wang Wenqin. Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar[J]. Journal of Radars, 2018, 7(2): 194-201. doi: 10.12000/JR16121
Citation: Gong Pengcheng, Liu Gang, Huang He, Wang Wenqin. Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar[J]. Journal of Radars, 2018, 7(2): 194-201. doi: 10.12000/JR16121

频控阵MIMO雷达中基于稀疏迭代的多维信息联合估计方法

doi: 10.12000/JR16121
基金项目: 

国家自然科学基金(61601178),中国博士后科学基金(2016M600729),博士科研启动金(BSQD14032)

详细信息
    作者简介:

    巩朋成(1982-),男,甘肃甘谷人,现为电子科技大学博士后,主要研究方向为MIMO雷达、频控阵列信号处理以及波形设计等。E-mail:gpcheng03@163.com;王文钦(1979-),男,四川眉山人,教授,博士生导师,研究方向为现代信号处理及其应用研究。E-mail:wqwang@uestc.edu.cn

    通讯作者:

    巩朋成gpcheng03@163.com

Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar

Funds: 

The National Natural Science Foundation of China (61601178), China Postdoctoral Science Foundation (2016M600729), The Doctoral Starting up Foundation (BSQD14032)

  • 摘要: 传统MIMO雷达为了获得准确的距离信息不仅需要引入转移矩阵,而且需要积累更多的快拍数。针对该问题,该文提出了基于稀疏迭代的频控阵MIMO雷达多维信息(距离、角度和幅度)估计方法,该方法利用频控阵MIMO的发射导向矢量不仅与目标的方位角有关,同时也与目标的距离有关这一特性,通过优化加权lq范数(0 q 1)的目标函数,采用稀疏迭代优化获取目标的距离、角度和幅度信息。该方法仅需单次快拍,并在每次迭代中求解到了目标的多维信息,故不需借助优化工具获得目标信息。仿真显示,相比DAS,IAA和IAA-R,该方法在有效减少快拍数和处理数据的同时,获得了高分辨率的目标距离、角度和幅度估计性能。

     

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出版历程
  • 收稿日期:  2016-11-01
  • 修回日期:  2016-11-28
  • 刊出日期:  2018-04-28

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