文献类型：期刊文献

中文题名：线性极化敏感阵列的极化平滑算法及相干源参数估计

英文题名：Polarization Smoothing-based Direction Finding and Polarization Estimation of Coherent Sources with Linear Electromagnetic Vector Sensor Array

作者：刘兆霆[1,2];刘中[1];何劲[1]

机构：[1]南京理工大学电子工程系;[2]绍兴文理学院电子工程系

年份：2010

期号：8

起止页码：1646

中文期刊名：航空学报

外文期刊名：Acta Aeronautica Et Astronautica Sinica

收录：CSTPCD、、EI(收录号：20103513195338)、Scopus(收录号：2-s2.0-77955991762)、CSCD2011_2012、北大核心2008、北大核心、CSCD

语种：中文

中文关键词：相干信号;极化敏感阵列;波达方向;传播算子算法;极化平滑算法

外文关键词：coherent source; polarization sensitive array; direction of arrival; propagator method; polarization smoothing algorithm

中文摘要：研究了基于极化敏感阵列的相干信号参数估计问题。首先,提出一种利用均匀线性极化敏感阵列的新型极化平滑算法(ULAPSA),其能够处理更多相干信号的参数估计,且具有更小的计算量。然后,基于ULAPSA给出了波达方向(DOA)和极化参数估计的两种方法:第1种方法利用角度搜索得到信号的DOA估计,适应任何多分量的电磁矢量传感器阵列;第2种方法结合传播算子算法,无需奇异值分解和角度搜索,能够同时估计信号的DOA和极化参数。该方法适应完备的电磁矢量传感器、三偶极子或三磁环构成的矢量传感器。最后,通过仿真实验比较和分析了所提算法的性能。

外文摘要：This article studies the problem of direction finding and polarization estimation of coherent sources by means of uniform linear electromagnetic vector sensor array.A new polarization smoothing algorithm using a uniform linear array（ULAPSA）,which can decorrelate the coherency of more sources compared with the PSA,is first proposed to preprocess the incident signals.Then two parameter estimation methods are presented with a developed ULAPSA.The first method estimtes the direction of arrival（DOA） by minimizing the cost function.The second method,which requires neither the eigendecomposition into signal/noise subspaces nor 2D iterative searching,applies the propagator method to estimate the direction cosines.The method is suitable for dipole triad,loop triad or dipole-triad-plus-loop-triad and can estimate both DOA and polarization.Finally,the performances of the proposed methods are evaluated through numerical examples,and their validity is proven.