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首页> 外文期刊>IEEE sensors journal >WSN Localization Using RSS in Three-Dimensional Space—A Geometric Method With Closed-Form Solution
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WSN Localization Using RSS in Three-Dimensional Space—A Geometric Method With Closed-Form Solution

机译：三维空间中使用RSS的WSN本地化-一种具有封闭形式解决方案的几何方法

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摘要

Proposed in this paper is a wireless sensor network source localization algorithm in the three-dimensional space. By using the measurements of the received signal strength (RSS), two closed-form none-ambiguous estimators are proposed to geometrically locate the source position under the shadowing noise in the wireless channel. The dynamic adjustment scheme has been applied in the localization algorithm to combat the measurements error in the ranging. With multiple measurements of the RSS, a lower bound of the source localization error is also derived. The numerical simulations show that the proposed estimators outperform the conventional least squares estimator, especially under the adverse scenario when the reference sensor nodes are close to be coplanar. Comparing with the maximum likelihood estimator that approaches the localization lower bound, the proposed estimators result in significantly lower computational burden, but without showing much degradation of localization accuracy.
机译：本文提出了一种在三维空间中的无线传感器网络源定位算法。通过使用接收信号强度（RSS）的测量，提出了两个闭式无歧义估计量，以将源位置几何定位在无线信道中的阴影噪声下。动态调整方案已应用于定位算法中，以解决测距中的测量误差。通过多次测量RSS，还可以得出源定位误差的下限。数值模拟表明，所提出的估计器优于传统的最小二乘估计器，特别是在基准传感器节点接近共面的不利情况下。与接近定位下限的最大似然估计器相比，所提出的估计器可显着降低计算负担，但不会显着降低定位精度。

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