利用868兆赫无线电和神经网络设计室内定位系统的经验教训

2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI:10.15439/2015F283

Michal Meina, Bartosz Celmer, Krzysztof Rykaczewski

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引用次数: 1

摘要

本文综述了基于基础设施的室内定位系统(IPS)的设计方法和实验评估。我们使用868 MHz单通道，节能无线电标记和RSSI(接收器信号强度指示器)指纹识别。人工神经网络将使用移动单元构建的RSSI向量转换为位置。需要对在线信号进行特殊的预处理，以构造用于分类的向量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Lessons learnt from designing indoor positioning system using 868 MHz radios and neural networks

This paper summarizes our approach and experimental evaluation of infrastructure-based Indoor Positioning System (IPS) designed to be used by First Responders. We are using 868 MHz single channel, power-efficient radio markers and RSSI (Receiver Signal Strength Indicator) fingerprinting. Artificial Neural Network translates vectors of RSSI constructed using mobile units into position. Special preprocessing needs to be applied to on-line signal to construct a vector for classification.

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来源期刊

2015 Federated Conference on Computer Science and Information Systems (FedCSIS)

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