Research On Parameter Estimation And Error Correction Of Polarization Array

Based on the performance of the traditional scalar sensor array,the electromagnetic vector sensor is adopted as the polarization sensitive array of array elements,which further improves the signal resolution,detection power,and interference suppression ability of the array.However,most researches on signal processing based on polarization-sensitive arrays have not fully utilized the orthogonal structure characteristics of arrays and lack of parameter estimation and error correction methods for non-ideal applications.In order to solve the above problems,this paper first introduces the method of parameter estimation for non-coherent and coherent sources based on the quaternion model,and carries out simulation analysis.Then the orientation error of the conventional polarization-sensitive array is studied.Finally,the mutual coupling correction method of the separate array is also discussed.The main work is as follows:1.For non-coherent sources,the MUSIC algorithm and ESPRIT algorithm based on the long vector model and the quaternion model are studied.The performance of the algorithm is simulated and analyzed.The results show that using the quaternion model can improve the signal arrival angle estimation.Then for the coherent sources,the improved spatial smoothing algorithm and the vector matrix reconstruction algorithm based on the quaternion model are given.The decoherence process of the two algorithms is deduced.Simulation analysis shows that the decoherence performance of the vector matrix reconstruction algorithm is better than that of the spatial smoothing algorithm,and the effective aperture of the array is not lost.2.For the correction of orientation error,the formation cause and error model of the orientation error in the polarization-sensitive array are analyzed,and the first-order Taylor approximation of the error matrix is deduced.Then the error correction method based on the first-order Taylor approximation of the error matrix is introduced.Based on this method,an improved method for dimension reduction parameter estimation of unknown orientation error is studied.The algorithm can accurately estimate the DOA and polarization parameters of the signal,and can simultaneously estimate the array's orientation error.3.In the common-point polarization-sensitive array,there are difficulties in the implementation of co-site orthogonal hardware and the effects of mutual coupling.Separate arrays can improve this problem.The MSUIC algorithm and dimensionality reduction MSUIC algorithm are introduced based on separate arrays.The simulation analysis shows that the performance of parameter estimation has been improved and the computational complexity of the algorithm has been reduced.In order to further reduce the influence of mutual coupling errors,a mutual coupling error model of discrete arrays was established,and a dimensionality-reduced mutual coupling error correction algorithm based on modulus constraints was proposed.The experimental simulation results verify that the algorithm can accurately estimate the signal parameters and the mutual coupling error coefficient of the array.