Gain characteristics estimation of heteromorphic RFID antennas using neuro-space mapping

Shi，Weiguang1,2; Gao，Junchao1,2; Cao，Yu3; Yu，Yang4; Liu，Penghui1,2; Ma，Yongtao5; Ni，Chunya6; Yan，Shuxia1,2

2020-10-28

10.1049/iet-map.2020.0105

IET Microwaves Antennas & Propagation   影响因子和分区

1751-8725

1751-8733

Existing gain estimation methods for radio frequency (RF) antennas often rely on rigorous and expensive experimental facilities or are only implemented for classic structure. They perform limited application scopes. To address the challenges, this study provides an accessible method for gain estimation of heteromorphic RF identification (RFID) antennas. There are three main innovations in the proposed method. An estimation framework is proposed based on neuro-space mapping technique which effectively reduces the time consumption and avoids laborsome measurement processes. A diverse extraction integration strategy is designed for training data acquisition, to balance the estimation accuracy and the training data size. A new adaptive particle swarm optimiser embedded with scale elaboration strategy is developed, which tackles the approximation problem from the gain estimation model to the gain from high-fidelity simulations. The proposed method is tested by four types of RF antennas. Simulations results demonstrate the method possesses high accuracy and strong applicability.

particle swarm optimisation neural nets data acquisition radiofrequency identification gain estimation model RF antennas gain characteristics estimation heteromorphic RFID antennas gain estimation methods radio frequency antennas rigorous facilities expensive experimental facilities classic structure application scopes accessible method heteromorphic RF identification antennas main innovations estimation framework neuro-space mapping technique time consumption laborsome measurement processes diverse extraction integration strategy training data acquisition estimation accuracy training data size adaptive particle swarm optimiser scale elaboration strategy

SCI ; EI

英语

其他

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000586657000010

INST ENGINEERING TECHNOLOGY-IET

20204409440690

Radio frequency identification (RFID) ; Mobile antennas ; Frequency estimation ; Mapping ; Particle swarm optimization (PSO)

Surveying:405.3 ; Radio Systems and Equipment:716.3 ; Computer Software, Data Handling and Applications:723 ; Data Processing and Image Processing:723.2 ; Control Systems:731.1 ; Optimization Techniques:921.5

2-s2.0-85094670659

Scopus

1.School of Electronics and Information Engineering,Tiangong University,Tianjin,300387,China
2.Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems,Tianjin,300387,China
3.School of Marine Science and Technology,Tianjin University,Tianjin,300072,China
4.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
5.School of Microelectronics,Tianjin University,Tianjin,300072,China
6.China Mobile Communication Group,Tianjin Co.,Ltd.,Tianjin,300308,China

Shi，Weiguang,Gao，Junchao,Cao，Yu,et al. Gain characteristics estimation of heteromorphic RFID antennas using neuro-space mapping[J]. IET Microwaves Antennas & Propagation,2020,14(13):1555-1565.

Shi，Weiguang.,Gao，Junchao.,Cao，Yu.,Yu，Yang.,Liu，Penghui.,...&Yan，Shuxia.(2020).Gain characteristics estimation of heteromorphic RFID antennas using neuro-space mapping.IET Microwaves Antennas & Propagation,14(13),1555-1565.

Shi，Weiguang,et al."Gain characteristics estimation of heteromorphic RFID antennas using neuro-space mapping".IET Microwaves Antennas & Propagation 14.13(2020):1555-1565.