RFID Positioning Algorithm Based on BA Optimization

Aiming at the problem that reader deployment has a great influence on positioning accuracy, a method of optimizing the reader deployment by bat algorithm(BA) is proposed to improve the accuracy of RFID positioning. In this paper, the problem of the indoor deployment of the readers is equivalent to the optimization problem of the plane coordinate point. According to the distance relationship between the reference tag and each reader, BA is used to obtain the optimal deployment position of the reader in the plane, and finally the neural network model is used to estimate the position of the positioning tags. The experimental results show that compared with the classical BP neural network location and PSO optimized reader deployment positioning, the proposed positioning algorithm has better performance and higher precision.