Indoor localization algorithm research of environmental adaptability based on RSSI-weights

Abstract

Abstract: The localization node received signal strength indication value is one of important element for indoor fingerprint localization technology. This paper through analyzing the characteristic of the localization node received signal strength value, proposes indoor localization based on RSSI-weights algorithm. The raising of improved RSSI-weight calculation formula and the weights index make the localization algorithm have the environmental adaptability, apply more flexible to the actual location scene. After general experiment scene verification, this algorithm has a great improvement in location accuracy.

Key words: Received Signal Strength Indication（RSSI）, weight, environmental adaptability, indoor localization

摘要： 定位节点接收的信号强度指示（Received Signal Strength Indication，RSSI）值是室内指纹定位技术重要的元素之一。通过对定位节点接收到的信号强度值特性分析，提出了基于RSSI权值的室内定位算法。改进型RSSI权值计算公式以及权值指数[α]的提出，使得定位算法具有一定的环境适应性，能更灵活地运用于实际定位场景。经过一般实验场景验证，算法在定位精度上有较大的提升。

关键词: 定位节点接收的信号强度指示（RSSI）, 权值, 环境适应性, 室内定位

CHEN Shunming, LI Ping. Indoor localization algorithm research of environmental adaptability based on RSSI-weights[J]. Computer Engineering and Applications, 2015, 51(22): 99-103.

陈顺明，李平. 基于RSSI权值的环境适应型室内定位算法研究[J]. 计算机工程与应用, 2015, 51(22): 99-103.

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Indoor localization algorithm research of environmental adaptability based on RSSI-weights

基于RSSI权值的环境适应型室内定位算法研究

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