文章摘要
王鸿帧, 郑桂妹, 陈晨,邹帛,王国铉,宋玉伟.基于互质阵列的米波雷达低仰角估计方法[J].空军工程大学学报:自然科学版,2022,23(3):75-81
基于互质阵列的米波雷达低仰角估计方法
A Method of Estimating for the Error to the Low Elevation of Meter Wave Radar Based on Coprime Array
  
DOI:
中文关键词: 互质阵列  米波雷达  低仰角估计  广义MUSIC  最大似然估计  实值处理
英文关键词: coprime array  meter wave radar  low elevation estimation  generalized MUSIC  maximum likelihood estimation  real value processing
基金项目:国家自然科学基金(61971438)
作者单位
王鸿帧, 郑桂妹, 陈晨,邹帛,王国铉,宋玉伟 空军工程大学防空反导学院西安710051 
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中文摘要:
      目前基于互质阵CPA虚拟阵列的低仰角估计方法虽然近似可行,但受多径效应影响,其存在测角误差大的问题。对此提出一种基于互质阵物理阵列的实值低仰角估计方法,首先利用互质阵列建立信号模型,并根据物理阵元位置计算回波信号协方差矩阵,然后对其进行实值处理后利用最大似然估计或广义多重信号分类MUSIC算法获得精确的低仰角,最后利用几何关系获得目标高度。仿真实验对比了均匀线阵和互质阵虚拟阵列法的低仰角估计性能,在重点分析目标仰角、信噪比和快拍数等因素对低空目标仰角估计精度的影响的基础上得出一般性结论,证明了所提估计方法的准确性与优越性。
英文摘要:
      Aimed at the problems that being affected by multiple aperture influence such as small array aperture, low angle measurement accuracy and poor performance, etc., large angle measurement error still remains in spite of the fact that the existing low elevation estimation algorithms mostly are mostly used by the uniform linear array (ULA) signal model for echo reception and processing, and then use the super resolution algorithm for low elevation estimation, are approximately feasible, and the performance is not good, a real valued low elevation estimation method based on physical array of CPA is proposed. Firstly, the signal model is established by using CPA, and the echo signal covariance matrix is calculated according to the position of physical array element. Then, after real value processing, the accurate low elevation is obtained by using maximum likelihood (ML) estimation or generalized multiple signal classification (MUSIC) algorithm. Finally, the target height is obtained by using geometric relationship. The simulation experiments compare the low elevation estimation performance of ULA and CPA virtual array, and prove the accuracy and superiority of the proposed low elevation estimation method based on physical array of CPA.
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