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导向矢量和协方差矩阵联合迭代估计的稳健波束形成算法

杨志伟 张攀 陈颖 许华健

引用本文: 杨志伟, 张攀, 陈颖, 许华健. 导向矢量和协方差矩阵联合迭代估计的稳健波束形成算法[J]. 电子与信息学报, 2018, 40(12): 2874-2880. doi: 10.11999/JEIT180225 shu
Citation:  Zhiwei YANG, Pan ZHANG, Ying CHEN, Huajian XU. Steering Vector and Covariance Matrix Joint Iterative Estimations for Robust Beamforming[J]. Journal of Electronics and Information Technology, 2018, 40(12): 2874-2880. doi: 10.11999/JEIT180225 shu

导向矢量和协方差矩阵联合迭代估计的稳健波束形成算法

    作者简介: 杨志伟: 男,1980年生,副教授,主要研究方向为阵列信号处理、地面动目标检测、极化处理;
    张攀: 男,1993年生,硕士生,研究方向为阵列信号处理;
    陈颖: 女,1993年生,硕士生,研究方向为阵列信号处理;
    许华健: 男,1990年生,博士生,研究方向为空时自适应处理、合成孔径雷达动目标检测
    通讯作者: 杨志伟,yangzw@xidian.edu.cn
  • 基金项目: 国家自然科学基金(61671352),国家青年科学基金(61501471),上海航天科技创新基金(SAST2016027, SAST2016033),教育部“认知无线电与信息处理”重点实验室基金(CRKL160206)

摘要: 针对自适应波束形成器在目标导向矢量存在约束偏差时性能急剧下降的问题,该文提出一种目标导向矢量和干扰噪声协方差矩阵联合迭代估计的稳健波束形成算法。该算法首先采用稀疏重构的方法得到目标导向矢量的初始值,并通过从采样协方差矩阵中剔除目标信号估计值完成干扰加噪声协方差矩阵的初始化;然后在建立导向矢量误差优化模型的基础上,采用凸优化方法对目标导向矢量和干扰加噪声协方差矩阵联合迭代求解。最后利用目标导向矢量和干扰加噪声协方差矩阵的稳态估计值获得自适应权矢量。仿真结果表明该算法提高了波束形成器在目标导向矢量约束偏差时的输出信干噪比。

English

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  • 图 1  联合迭代估计流程图

    图 2  目标来波方向误差下性能对比

    图 3  目标来波方向误差和阵元位置误差下性能对比

    图 4  目标来波方向误差和幅度相位误差下输出SINR随输入SNR变化曲线

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文章相关
  • 通讯作者:  杨志伟, yangzw@xidian.edu.cn
  • 收稿日期:  2018-03-09
  • 录用日期:  2018-07-24
  • 网络出版日期:  2018-08-06
  • 刊出日期:  2018-12-01
通讯作者: 陈斌, bchen63@163.com
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