Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems
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DOI：
10.1109/tmc.2011.84
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发表时间：
2011-07-01
影响因子：
7.9
通讯作者：
Ramos-Lopez, Javier
中科院分区：
文献类型：
--
作者：
Figuera, Carlos;Luis Rojo-Alvarez, Jose;Ramos-Lopez, Javier
基于IEEE 802.11b(WiFi)移动设备的室内定位系统通常依靠接收信号强度指示器来估计用户位置。这些系统的两个关键特征尚未得到充分分析，即充分描述室内场景中电磁场分布所需的时间和空间采样过程；以及支持同一系统内不同移动设备所需的设备校准。通过使用先前提出的用于系统比较的非参数方法，我们首先从常规采样理论和系统性能的角度分析了WiFi室内定位系统的时空采样要求。我们还提出了三种新的设备校准算法并进行了基准测试，这些算法的复杂性和性能都在不断提高。我们的结论是，可以使用可行的时间和空间采样率，并且校准算法使得处理系统中先前未知的移动设备成为可能。
Indoor location systems based on IEEE 802.11b (WiFi) mobile devices often rely on the received signal strength indicator to estimate the user position. Two key characteristics of these systems have not yet been fully analyzed, namely, the temporal and spatial sampling process required to adequately describe the distribution of the electromagnetic field in indoor scenarios; and the device calibration, necessary for supporting different mobile devices within the same system. By using a previously proposed nonparametric methodology for system comparison, we first analyzed the time-space sampling requirements for WiFi indoor location systems in terms of conventional sampling theory and system performance. We also proposed and benchmarked three new algorithms for device calibration, with increasing levels of complexity and performance. We conclude that feasible time and space sampling rates can be used, and that calibration algorithms make possible the handling of previously unknown mobile devices in the system.