文章摘要
林斌, 胡国平, 郑桂妹, 周豪.强干扰背景下基于局部空间差分算法的相干目标DOA估计[J].空军工程大学学报:自然科学版,2022,23(2):34-38
强干扰背景下基于局部空间差分算法的相干目标DOA估计
A Coherent Target DOA Estimation Based on Local Spatial Difference Algorithm under Conditions of Strong Interference Background
  
DOI:
中文关键词: 相干信源  强干扰信号  阵列信号处理  局部差分算法  波达方向估计
英文关键词: coherent source  strong interference signal  array signal processing  local spatial difference algorithm  direction of arrival estimation
基金项目:国家自然科学基金(62071476)
作者单位
林斌, 胡国平, 郑桂妹, 周豪 空军工程大学防空反导学院 西安 710051 
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中文摘要:
      针对传统算法对强干扰背景下相干目标的波达方向(direction of arrival, DOA)估计效率低、精度不高等问题,在构造干扰阻塞矩阵消除特定方向强干扰的基础上,基于局部空间差分算法进行相干目标的DOA估计。首先通过接收信号矩阵的角度信息构造阻塞矩阵来剔除协方差矩阵的强干扰信息,然后利用局部空间差分算法将协方差矩阵划分为若干子阵,从而充分提取有效信息并实现解相干,最后利用线性算子算法完成对目标的DOA估计,避免高复杂度的谱峰搜索。结果表明:该算法有效提高了数据利用率,有较好的解相干效果,能够在不同的信噪比和快拍数条件下获得比传统算法更低的估计偏差和更高的成功概率。
英文摘要:
      Aimed at the problems that the traditional algorithm is low in efficiency and low in accuracy of the direction of arrival (DOA) estimation in coherent targets under conditions of strong interference background, on the basis of constructing the interference blocking matrix to eliminate strong interference in a specific direction, a DOA estimation of coherent targets is made based on the local spatial difference algorithm. First, the blocking matrix is constructed by the angle information of the received signal matrix to eliminate the strong interference information of the covariance matrix, and then the covariance matrix is divided into several sub matrices using the local spatial difference algorithm, fully extracting the effective information. Finally, the linear operator method is utilized for completing the DOA of the target estimation. The algorithm effectively improves the data utilization. The simulations show that the proposed method is low in estimation deviation and high in success probability in comparison with the traditional algorithm under conditions of strong interference background.
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