Review of Neuro-Space Mapping Modeling for Heteromorphic RFID Antennas

With the development of technology, the radio frequence (RF) antenna gain estimation methods need to overcome some problems, such as complex modeling processes, long modeling cycles, and low model accuracy. The traditional methods are unable to meet modern device modeling requirements. This paper introduces an estimation framework, which combine neuro-space mapping (Neuro-SM) model with the particle swarm optimiser algorithm. Simulation results show that this method can improve the accuracy of existing models.