Bio-inspired Algorithms for FPGA Implementation of RFID Base-Band Transmission Model & IP Core

In order to obtain accurate and reliable data communication course in the RFID system, this work presents an implementation of an RFID base-band communication model with bio-inspired algorithms on field programmable gate array (FPGA). The proposed model utilizes FPGA technology to design a communication IP core, which integrates base-band encoding/decoding and data transmitting modules that have the advantages of internal task scheduling and high encoding/decoding speed. The bio-inspired search technique is independent of the RFID base-band communication structure and is capable of converging on the global solution for multimodal optimization problems, which makes it especially useful for optimizing the communication model to minimize bit error rate. We present a comparative study for three bio-inspired algorithms, namely Genetic Algorithm (GA), Evolution Strategy (ES), and Particle Swarm Optimization (PSO), on the Quartusand Simulink simulating tools. The simulation results indicate that the proposed FPGA-based communication model, which offers a highly-integrated base band communication IP core, is completely feasible in terms of optimization accuracy and communication robustness.