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arXiv 2106.00396cs.ITeess.SPmath.IT
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基于RGB LED的可见光系统中的距离和位置估计

Distance and Position Estimation in Visible Light Systems with RGB LEDs

Ilker Demirel, Sinan Gezici

摘要:

在这篇手稿中,距离和位置估计问题进行了研究的可见光定位(VLP)系统与红-绿-蓝(RGB)发光二极管(LED)。距离和位置估计的精度限制计算的Cramer-Rao下限(CRLB)为三种不同的情况。场景1和场景2分别对应于同步和异步系统,在接收机处具有已知的信道衰减公式。在场景3中,考虑了同步系统,但在接收机处不知道信道衰减公式。推导出的CRLB表达式揭示了在所考虑的情况下距离/位置估计精度之间的关系,并导致直观的解释使用RGB LED的好处。此外,最大似然(ML)估计在所有的情况下,它表明,他们可以实现接近性能的CRLB在某些情况下,足够高的源光功率。

英文摘要:

In this manuscript, distance and position estimation problems are investigated for visible light positioning (VLP) systems with red-green-blue (RGB) light emitting diodes (LEDs). The accuracy limits on distance and position estimation are calculated in terms of the Cramer-Rao lower bound (CRLB) for three different scenarios. Scenario~1 and Scenario~2 correspond to synchronous and asynchronous systems, respectively, with known channel attenuation formulas at the receiver. In Scenario~3, a synchronous system is considered but channel attenuation formulas are not known at the receiver. The derived CRLB expressions reveal the relations among distance/position estimation accuracies in the considered scenarios and lead to intuitive explanations for the benefits of using RGB LEDs. In addition, maximum likelihood (ML) estimators are derived in all scenarios, and it is shown that they can achieve close performance to the CRLBs in some cases for sufficiently high source optical powers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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