Performance, Accuracy and Generalization Capability of RFID Tags' Constellation for Indoor Localization

Area of Science:

• Computer Science
• Electrical Engineering
• Robotics

Background:

• Indoor localization is crucial for applications like the Internet of Things (IoT), logistics, and library management.
• Existing indoor localization systems often suffer from poor performance, low accuracy, and high costs.
• Radio Frequency Identification (RFID)-based localization offers a low-cost, high-accuracy solution with non-line-of-sight capabilities.

Purpose of the Study:

• To propose an innovative approach to enhance the accuracy of low-cost RFID-based indoor localization systems.
• To leverage the multiple input single output (MISO) protocol for improved localization performance.
• To address the limitations of traditional single-tag RFID localization methods.

Main Methods:

• Development of an innovative RFID localization architecture utilizing the multiple input single output (MISO) protocol.
• Implementation of a 'constellation' of multiple RFID tags instead of a single tag for localization.
• Exploitation of signal diversity from the tag constellation to improve location estimation.

Main Results:

• The proposed MISO-based RFID localization system significantly improves location accuracy compared to traditional methods.
• Experimental results demonstrate an estimated position error of 81 cm at the cumulative distribution function (CDF) of 90%.
• The use of a tag constellation and signal diversity contributes to enhanced localization precision.

Conclusions:

• The proposed MISO protocol-based RFID localization system offers a highly accurate and low-cost solution for indoor positioning.
• The 'constellation' approach effectively utilizes signal diversity to overcome limitations of single-tag systems.
• This innovative method provides a promising advancement for various indoor location-aware applications.