空间相关噪声中电磁矢量阵二维DOA估计算法  

Direction Finding in Spatially Correlated Noise with Electromagnetic Vector Sensor Subarrays

作　　者：顾陈[1] 何劲[1] 朱晓华[1] 刘中[1] 

机构地区：[1]南京理工大学电子工程系,南京210014

出　　处：《宇航学报》2010年第8期2002-2007,共6页Journal of Astronautics

基　　金：中国博士后科学基金(20080431098);南京理工大学自主科研专项计划资助项目(2010ZYTS028)

摘　　要：针对空间相关噪声中二维DOA估计性能下降的问题,提出一种基于双子阵结构的电磁矢量阵DOA估计算法。算法假设其中一个子阵由普通标量传感器组成而另一个子阵由电磁矢量传感器组成,并且所有的传感器空间位置均为未知。算法分三个步骤实现。首先,定义一个互相关矩阵来消除空间相关噪声;然后,采用传播算子算法估计电磁矢量传感器导向矢量;最后,通过导向矢量中电场矢量和磁场矢量的叉积计算得到闭式且自动配对的方位-仰角估计值。提出的算法不仅具有良好的估计性能,而且由于无需进行特征值分解估计信号子空间或噪声子空间,无需二维谱峰搜索,因此具有较低的计算量。蒙特卡罗实验证明了算法的有效性。To avoid the performance degradation of DOA in spatially correlated noise fields,an azimuth-elevation direction finding algorithm using two-far-separated subarray geometry of electromagnetic vector sensors.The algorithm assumes one subarray consists of multiple electromagnetic vector sensors,while another subarray comprises multiple pressure sensors.All sensors are arbitrarily placed at unknown locations.Firstly a cross matrix is defined to eliminate the effect of the spatially correlated noise.Then the so-called propagator method is used to estimate the steering vectors of electromagnetic vector sensors.Finally,a closed-form,automatically-paired azimuth-elevation angle estimates are derived.The proposed algorithm provides high DOA performance,and requires no eigen-decomposition into signal or noise subspaces.In addition,it does not need 2D iterative searching,therefore showing low computational complexity.Monte-Carlo simulations are presented to verify the effectiveness of the proposed algorithm.

关 键 词：电磁矢量传感器 二维DOA估计 空间相关噪声 传播算子方法 

分 类 号：TN820.5[电子电信—信息与通信工程]