Adaptive indoor positioning method based on direction discrimination and device conversion

IF 1.5 Q3 TELECOMMUNICATIONS

IET Wireless Sensor Systems Pub Date : 2020-04-01 DOI:10.1049/IET-WSS.2019.0079

Shirong Li, Maosheng Fu, Xuemei Zhu, Fenghui Zhang, Fugui He

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引用次数: 0

Abstract

Received signal strength (RSS) greatly differs due to the different occlusion directions and receiving device heterogeneity. It greatly affects the positioning accuracy. In this study, an adaptive indoor positioning method based on the direction discrimination and device conversion is proposed to solve these problems. This method is mainly composed of three parts: direction discrimination, device conversion and positioning models. First, the direction discrimination model can reduce the impact of a user's body occlusion. Best access points can be selected by principal component analysis to adapt to different directions and areas. Secondly, a device conversion model is used to reduce high offline work due to device heterogeneity. RSS of other devices can be converted to the value of one fixed device by least squares piecewise polynomial algorithm, without increasing the offline data collection workload. Finally, the results can be obtained by the positioning model. The problems of high dimensionality and non-linearity can be solved by the least squares support vector regression algorithm. Experimental results show that the proposed method can solve the problems of occlusion direction and device heterogeneity. The engineering applicability of positioning system can also be greatly improved.

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基于方向识别和设备转换的自适应室内定位方法

由于不同的遮挡方向和接收设备的异质性，接收信号强度(RSS)差异很大。这极大地影响了定位精度。针对这些问题，本文提出了一种基于方向识别和设备转换的自适应室内定位方法。该方法主要由三个部分组成:方向识别、设备转换和定位模型。首先，方向识别模型可以减少用户身体遮挡的影响。通过主成分分析选择最佳接入点，以适应不同的方向和区域。其次，采用设备转换模型，减少了由于设备异构导致的高离线工作量。其他设备的RSS可以通过最小二乘分段多项式算法转换为一个固定设备的值，而不会增加离线数据收集的工作量。最后，通过定位模型得到结果。高维非线性问题可以用最小二乘支持向量回归算法求解。实验结果表明，该方法可以很好地解决遮挡方向和设备异构等问题。也可以大大提高定位系统的工程适用性。

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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来源期刊

IET Wireless Sensor Systems TELECOMMUNICATIONS-

CiteScore

4.90

自引率

5.30%

发文量

审稿时长

33 weeks

期刊介绍： IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.

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