Prediction of Passive UHF RFID's Discrimination Based on LVQ Neural Network Method

The discrimination of passive Ultra High Frequency (UHF) Radio Frequency Identification (RFID) system can be affected by several factors. To measure the discrimination of UHF RFID systems, a measurement system based on virtual instruments which can adjust the speed, position and angle of tag is built in this paper. The learning vector quantization neural network based on genetic algorithm (GA-LVQ) is introduced to predict the discrimination of UHF RFID systems. To enhance the searching efficiency, the GA is modified adaptively. Prediction results are found to be good in agreement with experimental data.