一种利用ESPRIT的线阵DOA与极化参数联合估计OA

To address the issue of high computational complexity in joint multi-parameter estimation for linear polarization-sensitive arrays,an ESPRIT-based algorithm is proposed for the joint estimation of two-dimensional direction of arrival(DOA)and polarization parameters.First,a uniform linear array(ULA)model composed of polarization-sensitive arrays is constructed.By performing eigenvalue de‑composition on the covariance matrix of the received data,the signal subspace is divided into five sub-arrays.Based on the rotational invariance property,elevation angles are then obtained in closed form using the phase differences from two of the sub-arrays,while azimuth angles are derived directly from the phase differences of the ratios among the other three sub-arrays.Independent estimation of direc‑tional parameters is thereby achvieved.Finally,closed-form estimation of the polarization parameters is achieved.Traditional multi-dimensional spectral-peak searches and iterative operations are avoided by using the algorithm,which significantly reduces the computational load and ensures real-time per‑formance.Experimental results show that the estimation accuracies of all parameters are higher by us‑ing the proposed algorithm than those of the reduced-dimension MUSIC algorithm and the Ratio-ESPRIT algorithm except that of the polarization amplitude angle,while its computational efficiency is significantly superior to that of the reduced-dimension MUSIC algorithm.