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Fuzzy neural network based RFID indoor location sensing technique

机译:基于模糊神经网络的RFID室内位置感知技术

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Radio frequency identification (RFID) technology has been widely used in electronic payment, security systems, and so on. This paper presents an adaptive RFID indoor location sensing system based on received signal strength indication (RSSI) method. A wireless network platform is integrated. A fuzzy neural network architecture is developed to adaptively tune the environmental parameter. The proposed method possesses the advantage of active readers and tags such that long-distance transmission is fulfilled. The positioning accuracy is significantly improved comparing to those used the traditional passive readers and tags. The number of readers and tags is also reduced.
机译:射频识别(RFID)技术已广泛用于电子支付,安全系统等。本文介绍了一种基于接收信号强度指示(RSSI)方法的自适应RFID室内位置感应系统。集成了无线网络平台。开发了一种模糊的神经网络架构以自适应地调整环境参数。所提出的方法具有有源读取器的优点和标签,使得满足长距离传输。与使用传统的无源读取器和标签的标签相比,定位精度明显改善。还减少了读者和标签的数量。

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