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Fast Prototyping of an SDR WLAN 802.11b Receiver for an Indoor Positioning System

机译:用于室内定位系统的SDR WLAN 802.11b接收器的快速原型设计

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Indoor positioning systems (IPS) are emerging technologies due to an increasing popularity and demand in location based service (LBS). Because traditional positioning systems such as GPS are limited to outdoor applications, many IPS have been proposed in literature. WLAN-based IPS are the most promising due to its proven accuracy and infrastructure deployment. Several WLAN-based IPS have been proposed in the past, from which the best results have been shown by so-called fingerprint-based systems. This paper proposes an indoor positioning system which extends traditional WLAN fingerprinting by using received signal strength (RSS) measurements along with channel estimates as an effort to improve classification accuracy for scenarios with a low number of Access Points (APs). The channel estimates aim to characterize complex indoor environments making it a unique "signature" for fingerprinting-based IPS and therefore improving pattern recognition in radio-maps. Since commercial WLAN cards offer limited measurement information, software-defined radio (SDR) as an emerging trend for fast prototyping and research integration is chosen as the best cost-effective option to extract channel estimates. Therefore, this paper first proposes an 802.11b WLAN SDR beacon receiver capable of measuring RSS and channel estimates. The SDR is designed using LabVIEW (LV) environment and leverages several inherent platform acceleration features that achieve real-time capturing. The receiver achieves a fast-rate measurement capture of 9 packets per second per AP. The classification of the propose IPS uses a support vector machine (SVM) for offline training and online navigation. Several tests are conducted in a cluttered indoor environment with a single AP in 802.11b legacy mode. Finally, navigation accuracy results are discussed.
机译:由于基于位置的服务(LBS)的普及度和需求越来越多,室内定位系统(IPS)是新兴的技术。因为GPS等传统定位系统仅限于户外应用,所以许多IP已经在文献中提出。基于WLAN的IPS是由于其经过验证的准确性和基础设施部署而最有希望的。过去已经提出了几种基于WLAN的IPS,从中所谓的基于指纹的系统显示了最佳结果。本文提出了一种室内定位系统,其通过使用接收的信号强度(RSS)测量以及信道估计来延伸传统的WLAN指纹识别,作为提高具有少量接入点(AP)的场景的分类精度。该信道估计旨在表征复杂的室内环境,使其成为基于指纹印刷IP的独特的“签名”,从而提高了无线电地图中的模式识别。由于商业WLAN卡提供有限的测量信息,软件定义的无线电(SDR)作为快速原型设计的新兴趋势,因此选择了研究集成作为提取信道估计的最佳成本效益选项。因此,本文首先提出了一种能够测量RSS和信道估计的802.11b WLAN SDR信标接收器。 SDR使用LabVIEW(LV)环境设计,并利用了达到实时捕获的多个固有平台加速功能。接收器每秒每秒达到9个数据包的快速测量捕获。提议IP的分类使用支持向量机(SVM)进行离线培训和在线导航。几次测试在杂乱的室内环境中进行,在802.11b传统模式下用单个AP进行。最后,讨论了导航准确度结果。

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