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High Coupled UHF RFID Tags Localization Using the Multilateration RSSI and Genetic Algorithm (GA) Optimization

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RFID technology is one of the main building blocks of the Internet of Things (IoT) and it is widely used in several innovative applications such as citizen documents, surveillance, public transport, building access control, production lines, etc. However, despite all these achievements, RFID has not yet reached its full potential. There are many problems with RFID and the main reason that has prevented the adoption of RFID is its inconsistent reading due to the mutual coupling between tags. For example, the antennas of RFID tags undergo RF coupling with tagged packages and create a mismatch between the antenna and the IC due to nearby tags. This problem is often ignored when locating passive UHF tags in a dense environment. This paper proposes a Genetic Algorithm (GA) based identification of UHF RFID tags for localization accuracy taking into account the mutual coupling. This paper applies GA (Genetic Algorithm) to tag selection based on multilateration using the hybrid algorithm of Received Signal Strength Indicator (RSSI) and Angle of Arrival (AoA). Simulations with MATLAB 2018a software show that the proposed method is innovative and effective in detecting UHF RFID tags.
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Radio Frequency Identification (RFID); UHF RFID Tags; RSSI; AoA; Mutual Coupling; Mutual Impedance; Genetic Algorithm (GA)

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