电子学报 ›› 2019, Vol. 47 ›› Issue (12): 2465-2471.DOI: 10.3969/j.issn.0372-2112.2019.12.003

• 学术论文 • 上一篇    下一篇

增益相位误差下基于部分校准嵌套阵列的DOA估计

田野, 史佳欣, 王彦茹   

  1. 燕山大学信息科学与工程学院, 河北秦皇岛 066004
  • 收稿日期:2018-09-21 修回日期:2019-06-12 出版日期:2019-12-25 发布日期:2019-12-25
  • 作者简介:田野 男,1985年12月生于河北省承德市,工学博士,现为燕山大学信息科学与工程学院副教授,主要研究方向为阵列信号处理、阵列误差校准等.E-mail:tianye@ysu.edu.cn;史佳欣 女,1995年9月生于江苏省南京市,学士学位,现为燕山大学信息科学与工程学院2017级硕士研究生,主要研究方向为阵列信号处理.E-mail:sjx7300@163.com;王彦茹 女,1993年11月生于河北省石家庄市,学士学位,现为燕山大学信息科学与工程学院2017级硕士研究生,主要研究方向为空间谱估计及混合源定位.E-mail:wangyanru1101a@163.com
  • 基金资助:
    国家自然科学基金(No.61601398,No.61571388);河北省自然科学基金(No.F2016203100)

Direction of Arrival Estimation Method Using Partly Calibrated Nested Array in the Presence of Gain-Phase Errors

TIAN Ye, SHI Jia-xin, WANG Yan-ru   

  1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
  • Received:2018-09-21 Revised:2019-06-12 Online:2019-12-25 Published:2019-12-25

摘要: 现有的波达方向(Direction of Arrival,DOA)估计方法大多依赖于阵列导向矩阵的精确无偏条件,而实际工程中由于时钟偏移、阵元位置偏差的存在导致该条件往往难以满足.为匹配阵列实际接收条件,本文基于部分校准嵌套阵列,提出了一种增益相位误差下的DOA估计新方法.该方法首先利用连乘子函数和简单的代数运算完成初始增益相位误差估计,然后通过协方差矩阵向量化和稀疏表示理论构建具有连续自由度的稀疏表示向量模型,最后考虑有效样本的影响,在初始增益相位误差估计的基础上应用稀疏总体最小均方(Sparse total least squares,STLS)算法完成波达方向估计.本文所提方法不仅对阵列增益相位误差不敏感,而且可依靠嵌套阵列高自由度特性和STLS算法的抗扰动特性获得改进的分辨率和估计精度,计算机仿真结果验证了所提算法的有效性.

关键词: DOA估计, 增益相位误差, 部分校准嵌套阵列, 连乘子函数, STLS算法

Abstract: Most of the current direction of arrival estimation (DOA) methods are proposed based on the unbiased knowledge of the array manifold,which may not be guaranteed in some practical applications,since the clock drifting and sensor position uncertainties always exist.To match the actual array reception condition,a DOA estimation method that uses partly calibrated nested array is presented.The proposed method completes the array gain-phase errors estimation by exploiting the continuous multiplication operator and simple algebraic operation,and then constructs a sparse vector model via vectorization operation on array covariance matrix in sparse representation framework,which owes consecutive degrees of freedom.Finally,the influence of the finite number of samples is considered,and the DOAs are successively estimated by applying sparse total squares (STLS) algorithm based on the estimated result of gain-phase errors.The proposed method not only performs independent of gain-phase errors,but also can provide improved resolution and estimation accuracy,by depending on the high DOFs provided by nested array and anti-disturbance characteristics of STLS algorithm.Simulation results validate the effectiveness of the proposed method.

Key words: direction of arrival (DOA) estimation, gain-phase errors, partly calibrated nested array, continuous multiplication operator, STLS algorithm

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