基于伪数据相关矩阵二次重构的DOA估计新算法

doi:10.12068/j.issn.1005-3026.2018.06.001

东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (6): 761-766.DOI: 10.12068/j.issn.1005-3026.2018.06.001

• 信息与控制 • 下一篇

基于伪数据相关矩阵二次重构的DOA估计新算法

刘晓志，宋牧野，李鸿儒

(东北大学信息科学与工程学院，辽宁沈阳110819)

收稿日期:2017-01-13 修回日期:2017-01-13 出版日期:2018-06-15 发布日期:2018-06-22
通讯作者: 刘晓志
作者简介:刘晓志(1968-)，女，辽宁沈阳人，东北大学副教授; 李鸿儒(1968-)，男，辽宁沈阳人，东北大学教授，博士生导师.冯明杰(1971-)，男，河南禹州人，东北大学副教授; 王恩刚(1962-)，男，辽宁沈阳人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金重点项目(61533007).国家自然科学基金资助项目(51171041).

New Algorithm of DOA Estimation Based on the Twice Reconstruction of Pseudo Data Correlation Matrix

LIU Xiao-zhi， SONG Mu-ye， LI Hong-ru

School of Information Science & Engineering， Northeastern University， Shenyang 110819， China.

Received:2017-01-13 Revised:2017-01-13 Online:2018-06-15 Published:2018-06-22
Contact: LIU Xiao-zhi
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对传统波达方向估计算法在强信号邻近时弱信号难以估计和信源相干情况下算法性能失效的问题，通过对传统波达方向估计算法的理论推导和研究分析，变换阵元的数据接收矩阵来重构协方差矩阵，再对新的协方差矩阵对应信号的较大特征值进行重新排序，构造出伪数据相关矩阵，并结合MUSIC谱进行谱峰搜索完成对强弱邻近相干信源的波达方向估计.通过仿真比较，结果表明新算法消除了信号的相干性，不造成阵列孔径损失，并能对强弱邻近信号作出准确估计.

Abstract: Due to the problem that the traditional direction of arrival (DOA) estimation algorithm can hardly estimate the weak signal when the strong signal is adjacent and it will fail when the signals are coherent， the covariance matrix was reconstructed by corresponding transformation for the received data matrix of array elements on the basis of theoretical derivation and analysis of traditional estimation algorithms. Then the pseudo data correlative matrix was constructed by rearranging the larger eigenvalues of the reconstructed covariance matrix. Finally combined with the MUSIC spectrum to search spectral peaks， the DOA estimation of strong and weak adjacent coherent signals were finished. By simulation， the results show that the coherence of signals could be eliminated by the proposed algorithm without reducing the array aperture. Whats more， the DOA of strong and weak adjacent signals could be estimated accurately.

Key words: direction of arrival (DOA) estimation, pseudo data correlation matrix, twice reconstruction, strong and weak adjacent signals, decoherence

中图分类号:

TN911.23

刘晓志，宋牧野，李鸿儒. 基于伪数据相关矩阵二次重构的DOA估计新算法[J]. 东北大学学报:自然科学版, 2018, 39(6): 761-766.

LIU Xiao-zhi， SONG Mu-ye， LI Hong-ru. New Algorithm of DOA Estimation Based on the Twice Reconstruction of Pseudo Data Correlation Matrix[J]. Journal of Northeastern University Natural Science, 2018, 39(6): 761-766.

参考文献

[1]Schmidt R O.Multiple emitter location and signal parameter estimation［J］.IEEE Transactions on Antennas and Propagation，1986，34(3):276-280.
[2]Mao W P，Li G L，Xie X，et al.DOA estimation of coherent signals based on direct data domain under unknown mutual coupling［J］.IEEE Antennas and Propagation Society，2014，13(1):1528-1528.
[3]Niow C H，Hui H T.Improved noise modeling with mutual coupling in receiving antenna arrays for direction-of-arrival estimation［J］.IEEE Transactions on Wireless Communications，2012，11(4):1616-1621.
[4]Reddy V V，Ng B P，Khong A W H.Boon P N，Andy W H K.Insights into MUSIC-like algorithm［J］.IEEE Transactions on Signal Processing，2013，61(10):2551-2556.
[5]朱伟，郑禹.强相干干扰下弱信号波达方向估计［J］.雷达科学与技术，2015，13(1):60-64.(Zhu Wei，Zheng Yu.DOA estimation of weak signals under coherent intensive interferences［J］.Radar Science and Technology，2015，13(1):60-64.)
[6]Li J，Stoica P.Efficient mixed-spectrum estimation with applications to target feature extraction［J］.IEEE Transactions on Signal Processing，1996，44(2):281-295.
[7]张静，廖桂生，张洁.强信号背景下基于噪声子空间扩充的弱信号DOA估计方法［J］.系统工程与电子技术，2009，31(6):1279-1283.(Zhang Jing，Liao Gui-sheng，Zhang Jie.DOA estimation based on extended noise subspace in the presence of strong signals［J］.System Engineering and Electronics，2009，31(6):1279-1283.)
[8]Pillali S U，Kwon B H.Forward/backward spatial smoothing techniques for coherent signal identification［J］.IEEE Transactions on Acoustics，Speech，and Signal Processing，1989，37(1):8-15.
[9]Zhang W，Liu W，Wang J，et al.Joint transmission and reception diversity smoothing for direction finding of coherent targets in MIMO radar［J］.IEEE Journal of Selected Topics in Signal Processing，2014，8(1):115-124.
[10]Linebarger D A，Degroat R D，Dowling E M.Efficient direction-finding methods employing forward/backward averaging［J］.IEEE Transactions on Signal Processing，1994，42(8):2136-2145.
[11]Ma R，Barzigar N，Roozgard A，et al.Decomposition approach for low-rank matrix completion and its applications［J］.IEEE Transactions on Signal Processing，2014，62(7):1671-1683.
[12]郭艳，刘学亮，李宁，等.基于协方差矩阵重构的DOA估计方法［J］.解放军理工大学学报(自然科学版)，2012，13(1):1-5.(Guo Yan，Liu Xue-liang，Li Ning，et al.Covariance matrix reconstruction approach for DOA estimation of spatial signals［J］.Journal of PLA University of Science and Technology(Natural Science Edition)，2012，13(1):1-5.)

基于伪数据相关矩阵二次重构的DOA估计新算法

New Algorithm of DOA Estimation Based on the Twice Reconstruction of Pseudo Data Correlation Matrix

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	张石，许方晗，佘黎煌，刘平凡. 基于重构噪声子空间的相干信号DOA估计[J]. 东北大学学报（自然科学版）, 2021, 42(12): 1696-1700.
[2]	刘福来，彭泸，汪晋宽，杜瑞燕. 基于加权L1范数的CS-DOA算法[J]. 东北大学学报(自然科学版), 2013, 34(5): 654-657.