基于802.11的定位系统指纹分布

Thomas King, T. Butter, M. Brantner, S. Kopf, T. Haenselmann, Alexander Biskop, Andreas Farber, W. Effelsberg
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引用次数: 11

摘要

虽然基于802.11和指纹识别的室内定位系统工作得很好,但如何将大量指纹数据分发到移动设备上还是个未知数。更糟糕的是,许多移动设备在内存容量方面受到限制。我们确定了代表不同存储能力水平的三类移动设备。对于每一类,我们提出了指纹数据的分布方法:接入点联合(UAP),最强接入点(SAP)和接入点交集(IAP)算法。这些方法利用802.11网络将指纹数据的一个子集下载到移动设备。所述子集覆盖靠近所述移动设备的实际位置的区域,从而可以计算位置估计。对于这三种算法,子集的大小是不同的。
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Distribution of Fingerprints for 802.11-Based Positioning Systems
While indoor positioning systems based on 802.11 and fingerprinting work pretty well, it is unknown how to distribute large amounts of fingerprint data to mobile devices. Even worse, many mobile devices are restricted in terms of memory capabilites. We identified three classes of mobile devices representing different levels of storage capabilities. For each of these classes, we present a distribution approach for fingerprint data: the Union of Access Points (UAP), the Strongest Access Point (SAP), and the Intersection of Access Points (IAP) algorithm. These approaches utilize the 802.11 network to download only a subset of the fingerprint data to a mobile device. The subset covers the area close to the actual position of the mobile device in such a way that position estimates can be computed. The size of the subset is different for each of the three algorithms.
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