|本期目录/Table of Contents|

[1]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),2016,52(5):953.[doi:10.13232/j.cnki.jnju.2016.05.023]
 Yang Yanfei,Gao Jian*,Zhang Xinggan.An improved method for estimating two-dimensional DOA based on L-shape array[J].Journal of Nanjing University(Natural Sciences),2016,52(5):953.[doi:10.13232/j.cnki.jnju.2016.05.023]
点击复制

一种基于L型阵列的改进的二维DOA估计方法()
     

《南京大学学报(自然科学)》[ISSN:0469-5097/CN:32-1169/N]

卷:
52
期数:
2016年第5期
页码:
953
栏目:
出版日期:
2016-10-01

文章信息/Info

Title:
An improved method for estimating two-dimensional DOA based on L-shape array
作者:
杨艳飞高 健*张兴敢
南京大学电子科学与工程学院,南京,210023
Author(s):
Yang YanfeiGao Jian*Zhang Xinggan
School of Electronic Science and Engineering,Nanjing University,Nanjing,210023,China
关键词:
波达方向估计ESPRIT方法L型阵列相关矩阵
Keywords:
DOA estimationESPRIT methodL-shape arraycorrelation matrix
分类号:
TN957.51
DOI:
10.13232/j.cnki.jnju.2016.05.023
文献标志码:
A
摘要:
二维DOA估计在电子侦察、智能天线、雷达等方面都有广泛应用.二维DOA估计的方法有很多,主要用水平面L型阵列和ESPRIT算法进行二维DOA估计.提出用水平线阵和垂直线阵构建L型阵列,分成四个子阵,计算四个互相关矩阵,四个互相关矩阵构造一个特殊的大矩阵,对该矩阵进行特征值分解获得信号子空间估计,再用ESPRIT算法进行方位角和仰角的估计.该方法可以直接得到目标仰角,不需要换算,简化了计算,通过子空间估计,提高了DOA估计的分辨率并可以估计更多目标的DOA.仿真结果表明本文的改进二维DOA估计方法提高了DOA估计的精度.
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 algorithm 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.

参考文献/References:

[1] 唐 斌,肖先赐,施太和.空间信号二维到达方向估计的新方法.电子学报,1999.27(3):104-106.(Tang B,Xiao X C,Shi T H.A novel method for estimating spatial 2-D direction of arrival.Acta Electronica Sinica,1999,27(3):104-106.) [2] Liu T H,Mendel J M.Azimuth and elevation direction finding using arbitrary array geometries.IEEE Transactions on Signal Processing,1998,46(7):2061-2065. [3] Chen Y H,Lian Y T.2-D multitarget angle tracking algorithm using sensor array.IEEE Proceedings Part F:Radar and Signal Processing 1995,142(8):158-161. [4] Chen Y M,Lee J H,Yeh C C.Two-dimensional angle-of-arrival estimation for uniform planar arrays with sensor position.IEEE Proceedings F,1993,140(2):37-42. [5] Chen Y H,Lian Y T.2-D multitarget angle tracking algorithm using sensor array.IEEE Proceedings F,1995,142(8):158-161. [6] Wu Y,Liao G.Fast algorithm for 2-D direetion of arrival estimation.Signal Processing,2003,83:1827-1831. [7] Tayem N,Kwon H M.L-shape 2-dimensional arrival angle estimation with propagator method.IEEE Transactions on Antennas and Propagation 2005,53(5):1622-1630. [8] Yin J Y,Zou L H,Newwcomb W R.A high resolution approach to 2-D signal parameter estimation doa matrix method.Journal on Communications,1991,12(4):1-7. [9] 金 梁,殷勤业.时空DOA矩阵法.电子学报,2000,28(6):8-12.(Jin L,Yin J Y.Space-time matrix method.Acta Electronica Sinica,2000,28(6):8-12.) [10] 金 梁,殷勤业.时空DOA矩阵法的分析与推广.电子学报,2001,29(3):300-303.(Jin L,Yin J Y.Analysis and generalization of the space-time DOA matrix method.Acta Electronica Sinica,2001,29(3):300-303.) [11] Liang J L,Liu D.Joint elevation and azimuth direction finding using L-shaped array.IEEE Transactions on Antennas and Propagation,2010,58(6):2136-2141. [12] Cuangmin W,Jingmin X,Nanning Z,et al.Computationally efficient subspace-based method for two-dimensional direction estimation with L-shaped array.IEEE Transactions on Signal Process,2011,59(7):3197-3212. [13] Nie X,Li L P.A computationally efficient subspace algorithm for 2-D DOA estimation with L-shaped array.IEEE Transactions on Signal Processing Letters,2014,21(8):971-974. [14] Wei Y S,Guo X J.Pair-matching method by signal covariance matrices for 2D-DOA estimation.IEEE Antennas Wireless Propagation.Letters,2014,13:1199-1202. [15] 梁 浩,崔 琛,代 林等.基于ESPRIT算法的L型阵列MIMO雷达降维DOA估计,电子与信息学报,2015,37(8):1823-1835.(Liang H,Cui S,Dai L,et al.Reduced-dimension DOA estimation based on ESPRIT algorithm in MIMO radar with L-shaped array.Journal of Electronics & Information Technology,2015,37(8):1823-1835.) [16] 陈 建,王树勋,魏小丽.一种基于L型阵列的二维波达方向估计的新方法.吉林大学学报,2006,36(4):590-593.(Chen J,Wang S X,Wei X L,New method for estimating 2-dimensional direction of arrival based on L-shape array.Journal of Jilin University,2006,36(4):590-593.)

相似文献/References:

备注/Memo

备注/Memo:
基金项目:毫米波国家重点实验室开放课题(K201514) 收稿日期:2016-03-14 *通讯联系人,E-mail:jiangao@nju.edu.cn
更新日期/Last Update: 2016-09-25