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首页> 外文期刊>The mediterranean journal of electronics and communications >ESTIMATING THE ANGLES AND POWER LEVELS OF ARRIVAL WAVES BASED ON THE EXTENDED KALMAN FILTER
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ESTIMATING THE ANGLES AND POWER LEVELS OF ARRIVAL WAVES BASED ON THE EXTENDED KALMAN FILTER

机译：基于扩展卡尔曼滤波器的到达波角度和功率水平估计

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摘要

Parameters estimation of multiple waves provides a convenient tool for analysis of multiple waves-fields and eventually for actual applications to mobile communications. In this paper, using the extended Kalman filter (EKF), we carried out a mathematical analysis on a recursive procedure for estimating the angles and power levels of arrival waves. A space-variable model, which we call a spatial state equation, is derived using array element locations and incident angles. It has been shown that by means of the model, the estimation of incident waves can be transformed into the problem of parameter identification in linear system, which can be carried out by the extended Kalman filter conveniently. The algorithm is initiated directly by the signal received at each array element. The performance of the proposed approach is examined by a simulation study with three and two signals model. The sensors used in the simulations are passive. The simulation results show a good estimate performance, even in the case that two waves arrive from close directions.
机译：多个波的参数估计为分析多个波场以及最终用于移动通信的实际应用提供了方便的工具。在本文中，我们使用扩展卡尔曼滤波器（EKF），对递归过程进行了数学分析，以估计到达波的角度和功率水平。使用数组元素的位置和入射角推导出一个空间变量模型，我们称之为空间状态方程。结果表明，通过该模型，入射波的估计可以转化为线性系统中参数识别的问题，可以通过扩展的卡尔曼滤波器方便地实现。该算法直接由每个数组元素处接收的信号启动。通过对三个信号模型和两个信号模型的仿真研究，检验了所提出方法的性能。模拟中使用的传感器是无源的。即使在两个波从接近的方向到达的情况下，仿真结果也显示出良好的估计性能。

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