基于DOA矩阵法的矢量传感器阵列二维波达方向估计

季飞; 余华; 谢泽明; 张军; 朱一成

doi:10.3724/SP.J.1146.2007.01420

基于DOA矩阵法的矢量传感器阵列二维波达方向估计

doi: 10.3724/SP.J.1146.2007.01420

基金项目:

国家自然科学基金(60672065)资助课题

计量
- 文章访问数: 3196
- HTML全文浏览量: 86
- PDF下载量: 1150
- 被引次数: 0
出版历程
- 收稿日期: 2007-09-06
- 修回日期: 2008-04-25
- 刊出日期: 2008-08-19

A DOA Matrix Algorithm for 2-D Direction Finding Estimation with Electromagnetic Vector Sensor Arrays

摘要

摘要: DOA矩阵法是一种二维波达方向估计方法，该方法具有分辩率较高、计算量较少的特点。该文将DOA矩阵法扩展至矢量传感器阵列的波达方向估计，推导出相应的计算公式，分析了算法计算复杂度。算法分析表明，相对于ESPRIT算法，DOA矩阵法计算复杂度大大降低。Monte Carlo仿真结果表明，与ESPRIT算法相比，DOA矩阵法估计的均方根偏差和均方根标准方差相对大一些，所需的最低快拍数也增加。
- 波达方向估计; 电磁矢量传感器阵列; DOA矩阵法
Abstract: DOA-matrix method is one of eigenstructure-based algorithms dealing with the estimation of the 2-D Direction-Of-Arrival(DOA) for multiple narrowband sources. In this paper, the DOA-matrix subspace method is extended for DOA estimation with an array of electromagnetic vector sensors. The detailed algorithm is deduced and the algorithm computational complexity is analyzed. Compared with ESPRIT method, this method can decrease much computational complexity. Monte Carlo simulation results show that the RMS bias and the RMS standard deviation from DOA-matrix method are larger than that from ESPRIT method. The DOA-matrix method also needed more snapshots in the simulation.

HTML全文

参考文献(1)

Wong K T and Zoltowski M D. Closed-form direction findingand polarization estimation with arbitrarily spacedelectromagnetic vector-sensors at unknown locations[J].IEEETrans. on Antennas Propagation.2000, 48(5):671-681[2]Rahamin D, Tabrikian J, and Shavit R. Source localizationusing vector sensor array in a multipath environment[J].IEEETrans. on Signal Processing.2004, 52(9):3096-3103[3]Ji Fei and Sam Kwong. Frequency and 2-D angle estimationbased on a sparse uniform array of electromagnetic vectorsensors. EURASIP Journal on Applied Signal Processing,2006, Vol. 2006: Art. No. 8-720.[4]Bihan N L, Miron S, and Mars J I. MUSIC algorithm forvector-sensors array using biquaternions[J].IEEE Trans. onSignal Processing.2007, 55(9):4523-4533[5]Zhao Tong, Hurtado M, and Nehorai A. Adaptive polarizedwavedform design for target tracking using electromagneticvector sensors. IEEE International Conference on Acoustics,Speech and Signal Processing, Honolulu, HI, April 15-20,2007, 2: 1117-1120.[6]殷勤业，邹理和，Newcomb R W. 一种高分辨率二维信号参量估计方法波达方向矩阵法. 通信学报，1991, 12(4): 1-7.Yin Qin-ye, Zou Li-he, and Newcomb R W. A high resolutionapproach to 2-D signal parameter estimation...DOA matrixmethod. Journal of China Institute of Communications, 1991,12(4): 1-7.[7]Yin Qin-ye, Newcomb R W, Munjal S, and Zou Li-he.Relation between the DOA matrix method and the ESPRITmethod. IEEE International Symposium on Circuits andSystems, New Orleans, LA, 1990, 2: 1561-1564.[8]金梁, 殷勤业. 时空DOA 矩阵方法. 电子学报, 2000, 28(6):8-12.Jin Liang and Ying Qin-ye. Space-time DOA matrix method.Acta Electronica Sinica, 2000, 28(6): 8-12.[9]刘全. 一种新的二维快速波达方向估计方法.虚拟累量域波达方向矩阵法. 电子学报, 2002, 30(3): 351-353.Liu Quan. A novel fast method for 2-D direction of arrivalestimation.virtual cumulant-based DOA matrix method.Acta Electronica Sinica, 2002, 30(3): 351-353.[10]Roy R and Kailath T. ESPRIT-estimation of signalparameters via rotational invariance techniques[J].IEEE Trans.on Acoust., Speech Signal Processing.1989, 37(7):984-995[11]Nehorai A and Paldi E. Vector-sensor array processing forelectromagnetic source localization[J].IEEE Trans. on SignalProcessing.1994, 42(2):376-398

施引文献

资源附件(0)

访问统计