Reliable ranging technique based on statistical RSSI analyses for an ad-hoc proximity detection system

K. Nakamura, M. Kamio, Tetsushi Watanabe, Shinsuke Kobayashi, N. Koshizuka, K. Sakamura
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引用次数: 7

Abstract

We propose a proximity detection system that supports pedestrian traffic. Active radio tags are utilized for building the system to reduce the overall system cost. But accurate ranging based on utilizing active radio tags only is difficult to achieve, since the RSSI is affected by small-scale fading of a radio signal in real-world environments. In this paper, 4 simple statistical RSSI filtering methods and a packet exchange protocol for reducing the fading effect are proposed. Combinations of proposed methods are thoroughly experimented in real-world environments and discussed for determining the best combination for the system. Our results show that the variation of detecting distance is successfully reduced to 4 meters for particular combinations.
基于统计RSSI分析的自组织近距离检测系统可靠测距技术
我们提出了一种支持行人交通的接近检测系统。有源射频标签用于构建系统,以降低整体系统成本。但是,仅基于利用有源无线电标签的精确测距很难实现,因为RSSI在现实环境中受到无线电信号的小规模衰落的影响。本文提出了4种简单的RSSI统计滤波方法和一种减少衰落效应的分组交换协议。所提出的方法组合在实际环境中进行了彻底的实验,并讨论了确定系统的最佳组合。我们的研究结果表明,对于特定的组合,探测距离的变化成功地减少到4米。
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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