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一种基于L型阵列的改进的二维DOA估计方法

杨艳飞 高健 张兴敢

南京大学学报(自然科学版)2016,Vol.52Issue(5):953-959,7.
南京大学学报(自然科学版)2016,Vol.52Issue(5):953-959,7.DOI:10.13232/j.cnki.jnju.2016.05.023

一种基于L型阵列的改进的二维DOA估计方法

An improved method for estimating two-dimensional DOA based on L-shape array

杨艳飞 1高健 1张兴敢1

作者信息

  • 1. 南京大学电子科学与工程学院,南京,210023
  • 折叠

摘要

Abstract

Two‐dimensional direction of arrival estimation has been widely used in electronic reconnaissance ,smart antenna ,radar ,etc ,and it can accurately describe the spatial characteristic information of the incident signal .The two‐dimensional direction of arrival estimation plays a important role in the multidimensional parameter estimation of array signal .Many scholars both domestic and foreign have done a lot of researches and obtained many results which have great impact in this field .There are plenty of methods for 2‐D DOAestimation .In this paper ,we mainly use the ESPRIT algorithm based on the L‐shape array to estimate the DOA .We propose to construct a L‐shape array by using horizontal line array and vertical line array and divide the L‐shape array into four sub arrays ,then calculate cross correlation matrices each other which are used to construct a special large matrix .The signal subspace estimation is acquired via the eigenvalue decomposition of the constructed matrix .After that we use the ESPRIT al‐gorithm estimate azimuth and elevation .This method can obtain the elevation angle of the target directly .Compared with the traditional ESPRIT algorithm of L‐shape array ,this method not ony does not need to be converted but also can simplify the calculation .Through the subspace estimation ,the resolution of DOA estimation is improved and the DOA of more targets can be identified .Simulation results show that the improved two‐dimensional DOA estimation method promotes the accuracy of DOA estimation .

关键词

波达方向估计/ESPRIT方法/L型阵列/相关矩阵

Key words

DOA estimation/ESPRIT method/L-shape array/correlation matrix

分类

信息技术与安全科学

引用本文复制引用

杨艳飞,高健,张兴敢..一种基于L型阵列的改进的二维DOA估计方法[J].南京大学学报(自然科学版),2016,52(5):953-959,7.

基金项目

毫米波国家重点实验室开放课题 ()

南京大学学报(自然科学版)

OACSCDCSTPCD

0469-5097

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