Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method

The increasing demand for high precision indoor positioning in many public services has urged research to implement cost-effective systems for a rising number of applications. However, current systems with either short-range positioning technology based on wireless local area networks (WLAN) and ZigBee achieving meter-level accuracy, or ultra-wide band (UWB) and 60 GHz communication technology achieving high precision but with high cost required, could not meet the need of indoor wireless positioning. This paper presents a new method of high precision indoor positioning by autocorrelation phase measurement of spread spectrum signal utilizing carrier frequency lower than 1 GHz, thereby decreasing power emission and hardware cost. The phase measurement is more sensitive to the distance of microwave transmission than timing, thus achieving higher positioning accuracy. Simulation results demonstrate that the proposed positioning method can achieve high precision of less than 1 centimeter decreasing when various noise and interference added.

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High Precision Indoor Positioning Method Based on UWB

Ad Hoc Networks - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ◽

10.1007/978-3-030-37262-0_16 ◽

2019 ◽

pp. 201-207

Author(s):

Janyong Yan ◽

Donghai Lin ◽

Kai Tang ◽

Guangsong Yang ◽

Qiubo Ye

Keyword(s):

High Precision ◽

Indoor Positioning ◽

Positioning Method

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An Indoor Positioning System Using Multiple Methods and Tools

International Journal of Information Communication Technology and Applications ◽

10.17972/ijicta20184134 ◽

2018 ◽

Vol 4 (1) ◽

pp. 11-22

Author(s):

Michael Adeyeye Oshin ◽

Nobaene Sehloho

Keyword(s):

Wireless Mesh Network ◽

Ad Hoc ◽

Indoor Positioning ◽

Mesh Network ◽

Positioning System ◽

Tracking Systems ◽

Positioning Systems ◽

Wireless Mesh ◽

Positioning Method ◽

Indoor Positioning System

With many different studies showing a growing demand for the development of indoor positioning systems, numerous positioning and tracking methods and tools are available for which can be used for mobile devices. Therefore, an interest is more on development of indoor positioning and tracking systems that are accurate and effective. Presented and proposed in this work, is an indoor positioning system. As opposed to an Ad-hoc Positioning System (APS), it uses a Wireless Mesh Network (WMN). The system makes use of an already existing Wi-Fi infrastructure technology. Moreover, the approach tests the positioning of a node with its neighbours in a mesh network using multi-hopping functionality. The positioning measurements used were the ICMP echos, RSSI and RTS/CTS requests and responses. The positioning method used was the trilateral technique, in combination with the idea of the fingerprinting method. Through research and experimentation, this study developed a system which shows potential as a positioning system with an error of about 2 m to 3 m. The hybridisation of the method proves an enhancement in the system though improvements are still required.

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