Optimization And Design For Anti-metal RFID Tag Antenna

With the wide application of tag antenna, the antenna miniaturization demand with anti-metal performance becomes more and more important. This paper a tag antenna is designed and parallel optimized, with the hybrid algorithm combining space mapping and jump the combination of genetic algorithm based on advanced a concurrent design system.The RFID technology development and application status are reviewed, and describe the basic concept, the basic theory of working principle of RFID tag antenna, and design process. An artificial magnetic conductor(AMC) deformation dipole formation is designed mainly by the AMC metal and deformation of dipole radiation patch. Because the antenna structure is complex, it’s very difficult to optimize the design. We design software infrastructure system advanced parallel laboratory self-developed hybrid algorithm, a combination of space mapping and jumping gene genetic algorithm combining, network parallel optimization design for antenna.We develop advanced parallel design system software that called HFSS simulator, and using hybrid algorithm with pure jump on antenna optimization genetic algorithm, the number of sample is 650, the use of the 2 nuclear, 32 256 G of memory and 8 workstations, personal computers, and at the same time, the electromagnetic simulation of 110 samples of LAN parallel optimization. The optimization results show that the hybrid algorithm has better optimization efficiency. The measured antenna has good anti metal performance, which can work on the metal background and loss liquid background such as harsh environment.