Research On Two-dimensional DOA Estimation And Parameter Pairing Algorithm

As a key research direction of array signal processing,DOA estimation has been widely used in radar,underwater positioning,and biomedical applications.Among them,two-dimensional DOA estimation algorithm is a research hotspot in DOA estimation,the spatial localization of target can be realized by this technique,and the parameter pairing problem derived from two-dimensional DOA estimation is also a concern of many researchers.The pairing method determines the accuracy of the final estimation results.In view of the shortcoming of existing 2D-DOA methods,this paper focuses on the following two aspects of works:(1)Introduced a improved two-dimensional DOA estimation combined algorithm with automatic parameters pairing.An improved two-dimensional DOA estimation method is obtained by combining matrix pencil with reduced-order rootMUSIC method in this paper.This method implemented automatic pairing of first-dimensional and second-dimensional parameters by constructing polynomials,which overcome the problem of pairing errors in the traditional method to a certain extent.In order to decrease the complexity of polynomial rooting,an iterative polynomial's order reduction method based combined algorithm is introduced,this method reduces the overall algorithm complexity.Some simulation has been done with the combined method based uniform rectangular array and L-shape array,the simulation results show that the combined algorithm performs better than existing 2D-DOA methods in the condition of small snapshots number and low SNR.(2)Proposed a two-dimensional parameter pairing algorithm based on real eigenvalue detection.The traditional two-dimensional parameter matching method usually uses the strong correlation of two-dimensional parameters to re-adjust the parameter's order after the eigenvalue decomposition and achieves parameter pairing finally.However,in the case of repeated eigenvalues,the correlation of parameters usually cannot reflects the matching degree between the two-dimensional eigenvalues,which leads to errors in the pairing process.Based on improved DOA algorithm introduced in this paper,a two-dimensional parameter pairing algorithm with real eigenvalue detection is proposed,this method can pair the two-dimensional parameters by mapping eigenvalues from complex space to real space and determine the repeated real eigenvalue and signing the multiplicity of each eigenvalue and grouping them.The simulation results show that the algorithm is feasible.