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Efficient localisation of sensor networks with noisy distance measurements

机译:噪声距离测量可有效定位传感器网络

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The localization of sensor networks using positioning systems rather than a GPS device is of great interest in many real world applications. One of the systems involves a circular type localization using distance measurements, where the problem of localizing a free sensor with knowledge of three anchors in a 2D plane is formulated using the Cayley-Menger determinant with no closed-form solution. Under some mild assumptions on the free sensor distribution, we propose a linear closed-formed algorithm to approximately solve the sensor localization problem. Analysis and discussion are presented to justify the proposed method and its localization error performance is demonstrated via simulation.
机译:在许多实际应用中,使用定位系统而不是GPS设备对传感器网络进行定位非常重要。其中一个系统涉及使用距离测量的圆形定位,其中使用Cayley-Menger行列式在没有封闭形式的解决方案的情况下确定具有2D平面中的三个锚的自由传感器的定位问题。在一些关于自由传感器分布的温和假设下,我们提出了一种线性封闭形式的算法来近似解决传感器定位问题。进行了分析和讨论以证明该方法的合理性,并通过仿真证明了其定位误差性能。

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