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首页> 外文期刊>Wireless Communications Letters, IEEE >Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation
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Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation

机译:Stansfield本地化算法:理论分析和分布式实现

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摘要

In this letter, we focus on the Stansfield localization algorithm, which is a direction-of-arrival (DoA) fusion algorithm with high accuracy and low complexity. We derive the mean square error of the Stansfield algorithm with estimated DoA estimation error variance. Our derivation considers the statistical variation of DoA, as well as the impact of receive signal strength variations and node self-positioning error. In addition, we propose a distributed implementation of the Stansfield algorithm based on diffusion adaptation, which obtains accuracy comparable to its centralized counterpart and saves total transmit power for sufficient node density.
机译:在这封信中,我们将重点介绍斯坦斯菲尔德定位算法,这是一种具有高精度和低复杂度的到达方向(DoA)融合算法。我们用估计的DoA估计误差方差推导出Stansfield算法的均方误差。我们的推导考虑了DoA的统计变化,以及接收信号强度变化和节点自定位误差的影响。此外,我们提出了一种基于扩散自适应的Stansfield算法的分布式实现,该算法可实现与集中式算法相当的精度,并为足够的节点密度节省了总发射功率。

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