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首页> 外文期刊>Applied Computational Electromagnetics Society journal >Direction of Arrival Estimation in a Multipath Environment: an Overview and a New Contribution
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Direction of Arrival Estimation in a Multipath Environment: an Overview and a New Contribution

机译：多路径环境中到达估计的方向：概述和新的贡献

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This paper proposes a new computationally efficient algorithm for direction-of-arrival (DOA) estimation in a multipath environment using a uniform linear array (ULA) of equispaced sensors. The paper starts by presenting a comprehensive overview of the classical MUSIC algorithm used for DOA estimation of uncorrelated signals. The effect of different factors related to the signal environment as well as the sensor array is investigated. The concept of spatial smoothing required in the case of correlated signals encountered in multipath propagation environments is then discussed. This then leads to the development of a new computationally efficient DOA estimation algorithm that is proposed for a multipath environment with unknown correlated signals. The algorithm comprises two stages: a first stage for discriminating uncorrelated signals, and a second stage for resolving the directions of arrival of correlated signals using covariance differencing and iterative spatial smoothing. Simulation results show that the proposed algorithm operates at a much lower computational cost compared to standard methods. The proposed algorithm also offers a hardware saving by reducing the number of sensors required to detect a given number of signals.
机译：本文提出了一种新的计算有效算法，该算法使用等距传感器的均匀线性阵列（ULA）在多径环境中估计到达方向（DOA）。本文首先介绍用于不相关信号的DOA估计的经典MUSIC算法的全面概述。研究了与信号环境以及传感器阵列相关的不同因素的影响。然后讨论了在多径传播环境中遇到相关信号的情况下所需的空间平滑概念。然后，这导致了一种新的计算有效的DOA估计算法的开发，该算法针对具有未知相关信号的多径环境而提出。该算法包括两个阶段：第一阶段用于区分不相关的信号，第二阶段用于使用协方差差分和迭代空间平滑来解决相关信号的到达方向。仿真结果表明，与标准方法相比，该算法的计算成本低得多。所提出的算法还通过减少检测给定信号数量所需的传感器数量来节省硬件。

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