能够恢复出插值虚拟均匀直线阵列(interpolated virtual uniform linear array
IVULA)的信号向量。IVULA信号协方差矩阵具有Toeplitz结构
利用子空间旋转不变的特性
能够计算出所有信号的方向。利用协方差拟合方法
能够估计出所有信号的功率。重新构建MISC阵列的干扰加噪声协方差矩阵
预测目标信号的导向向量
并确定无人机导航接收器的波束形成加权向量。仿真实验表明: 文中所提出的方法适用于MISC阵列
比当前方法输出更高的信干噪比
对模型误差具有较好的鲁棒性。
Abstract
To address the issues of limited degrees-of-freedom for interference suppression and inter-element mutual coupling in a uniform linear array
this paper proposes an adaptive beam forming method for unmanned aerial vehicle (UAV) navigation based on maximum inter-element spacing constraint (MISC) coarray interpolation. This method aims to increase the number of degrees-of-freedom for interference suppression and reduce the mutual coupling effects between antenna elements. The MISC array covariance matrix is vectorized
and a difference coarray is constructed. Due to the presence of holes in the difference coarray
it is interpolated to form a virtual uniform linear array. An optimization problem based on atomic norm minimization is formulated and transformed into a convex optimization problem. By solving this problem
the signal vector of the interpolated virtual uniform linear array (IVULA) can be recovered. The IVULA signal covariance matrix has a Toeplitz structure
and by exploiting the subspace rotation-invariant property
the directions of all signals can be computed. The covariance fitting method is employed to estimate the powers of all signals. The interference plus noise covariance matrix of the MISC array is reconstructed
the steering vector of the desired signal is predicted
determining the beam forming weight vector for the UAV navigation receiver. Simulation experiments demonstrate that the proposed method is suitable for MISC arrays
outputs higher signal-plus-interference-to-noise ratios than current methods