信号DOA和极化参数的自适应估计

运用ESPRIT算法进行信号参数的估计,关键是对信号子空间的估计。在实际运用中,接收到的信号的参数往往是随时间变化的,因此要得到信号参数的实时估计值就需要根据阵列的接收数据对信号子空间进行更新。分析了如何运用ESPRIT算法得到信号的DOA和极化参数,并在矩阵扰动理论的基础上,利用矩阵特征分解一阶修正方法更新特征值和特征向量,从而使得ESPRIT算法能够自适应地估计信号DOA和极化参数。最后通过Matlab仿真验证了该方法的有效性。

Adaptive Estimation of Signal DOA and Polarization Parameter

The key problem of using ESPRIT algorithm to estimate signal parameter is the estimation of signal subspace.In practical,parameter of the received signal always change over time.To obtain the real-time estimation of the parameter,we have to update the signal subspace based on the received signal.In this paper,the estimation of signal DOA and polarization parameter through ESPRIT is first proposed,then based on the matrix perturbation theory,the first order correction method of matrix eigen decomposition to update the eigen decomposition and eigenvectors is proposed,so we can use ESPRIT to estimate signal parameters adaptively.At last,the Matlab simulation is done to verify the algorithm.