摘要
在实际测向系统中,空间谱测向天线阵通道误差校正时,校正系数也对接收通道噪声进行加权,在较低信噪比和临近强干扰抑制时,将导致天线阵列波达方向(Direction of Arrival,DOA)估计性能下降甚至失效。因此,结合阵列互耦导致天线有源方向图发生畸变的实际情况,在单辅助源通道误差估计基础上,提出改进的空间谱幅相误差校正算法。该算法在通道误差模型中引入天线有源方向图畸变系数,并对噪声协方差加权项进行处理,得到噪声去加权的阵列接收数据协方差矩阵,并在谱峰搜索时修正导向矢量,实现幅相误差校正和空间谱测向。将所提校正算法应用于相干信号测向和临近强干扰空间谱抑制,改善了通道误差条件下的空间谱测向,计算机仿真结果证明所提算法的可行性。
In the actual direction finding system,the correction coefficient also weights the receiving channel noise when correcting the channel error of spatial spectral direction finding antenna array.At low signal-to-noise ratio and near strong interference suppression,the estimation performance of the antenna array direction of arrival(DOA)will decline or even fail.Based on the actual situation of array mutual coupling causing distortion of the active antenna pattern,an improved spatial spectrum amplitude and phase error correction algorithm is proposed on the basis of single auxiliary source channel error estimation.The algorithm introduces the distortion coefficient of the active antenna pattern into the channel error model,and processes the noise covariance weighting term to obtain the covariance matrix of the array received data with noise de-weighted.The steering vector is modified during the spectral peak search to realize the gain and phase error correction and spatial spectrum direction finding.The proposed correction algorithm is applied to coherent signal direction finding and spatial spectrum suppression of adjacent strong interference,improving the spatial spectrum direction finding under channel error conditions.The computer simulation results demonstrate the feasibility of the proposed algorithm.
作者
孙家宝
施伟
王身云
SUN Jiabao;SHI Wei;WANG Shenyun(School of Electronics and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;The Sixty-third Research Institute,National University of Defense Technology,Nanjing 210007,China)
出处
《电子信息对抗技术》
2024年第6期75-81,共7页
Electronic Information Warfare Technology
关键词
通道幅相误差
校正
解相干
抗干扰
空间谱估计
channel amplitude and phase error
correction
decoherence
anti-interference
spatial spectral estimation
