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Source localization using virtual antenna arrays

机译:使用虚拟天线阵列进行源本地化

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Using antenna arrays for direction of arrival (DoA) estimation and source localization is a well-researched topic. In this paper, we analyze virtual antenna arrays for DoA estimation where the antenna array geometry is acquired using data from a low-cost inertial measurement unit (IMU). Performance evaluation of an unaided inertial navigation system with respect to individual IMU sensor noise parameters is provided using a state space based extended Kalman filter. Secondly, using Monte Carlo simulations, DoA estimation performance of random 3-D antenna arrays is evaluated by computing Crame?r-Rao lower bound values for a single plane wave source located in the far field of the array. Results in the paper suggest that larger antenna arrays can provide significant gain in DoA estimation accuracy, but, noise in the rate gyroscope measurements proves to be a limiting factor when making virtual antenna arrays for DoA estimation and source localization using single antenna devices.
机译:使用天线阵列进行到达方向(DOA)估计和源定位是一个良好研究的主题。在本文中,我们分析了使用来自低成本惯性测量单元(IMU)的数据获取天线阵列几何体的DOA估计的虚拟天线阵列。使用基于状态空间的扩展卡尔曼滤波器提供了关于各个IMU传感器噪声参数的可联合惯性导航系统的性能评估。其次,使用Monte Carlo模拟,通过计算位于阵列的远场的单个平面波源的单个平面波源的r-rao下限值来评估随机3-d天线阵列的DOA估计性能。本文的结果表明,较大的天线阵列可以在DOA估计精度提供显着增益,但是,速率陀螺仪测量中的噪声被证明是使用单天线设备进行DOA估计和源定位的虚拟天线阵列时是一个限制因素。

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