{"title":"A Low Profile Two-Sided Anti-Metal UHF RFID Tag Antenna Based on Square–Ring Embedded Coupling Structure","authors":"Wangfu Lai, Huayun Lan, Jiade Yuan","doi":"10.1049/mia2.70087","DOIUrl":"https://doi.org/10.1049/mia2.70087","url":null,"abstract":"<p>A compact ultra-high frequency (UHF) radio frequency identification (RFID) tag antenna for two-sided anti-metal performance is proposed. The proposed tag antenna consists of a lower bottom patch, a middle patch and an upper top patch, separated by two layers of foam substrate. Owing to its three-layer design, the current paths and field distribution across the three layers of the patch are almost identical, which enables the tag antenna’s two-sided anti-metal properties. The middle patch includes an inner meandered microstrip line, an outer open square ring patch, and two embedded stubs, which can miniaturise the antenna and improve the impedance matching between the antenna and the tag chip. The tag antenna has a compact structure with dimensions of 38 mm × 20 mm × 1.15 mm (0.1159<i>λ</i> × 0.061<i>λ</i> × 0.0035<i>λ</i> at 915 MHz). When the proposed tag is placed on the 200 × 200 mm<sup>2</sup> metal plate and the effective isotropic radiated power (EIRP) is fixed at 3.28 W, the test results show that the read distance can reach 5.6 and 5.8 m, when bottom patch and top patch, respectively, are mounted on metal plate. The proposed compact, two-sided anti-metal tag antenna is particularly suitable for metal-mounted applications where the tag is hung freely, eliminating the need to distinguish which side faces the metal surface.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"GPR Antenna Modelling Based on DML Exploiting Cosine Similarity Metric","authors":"Shenghao Ye, Yubo Tian, Guangshen Tan","doi":"10.1049/mia2.70086","DOIUrl":"10.1049/mia2.70086","url":null,"abstract":"<p>Traditional full-wave electromagnetic simulation software, such as HFSS or CST, requires substantial computational resources and time consumption, as does the construction of surrogate models when acquiring new samples. To overcome this data efficiency challenge, we propose a Data Augmentation (DA) modelling approach based on Deep Metric Learning (DML) that integrates a Siamese Neural Network (SNN) with K-Nearest Neighbours (KNN) to generate augmented samples for training surrogate models. First, SNN is employed to extract embeddings of antenna parameters. The performance between loss functions constructed using various distance metrics, including cosine similarity and others, is systematically compared. Subsequently, the KNN algorithm generates new samples based on the distance to neighbours. These augmented samples are combined with the original dataset and fed into the surrogate model using a Gaussian Process Regressor (GPR) and comparative analysis. The proposed method is validated using a WLAN Dual-Band Monopole Antenna (WLAN-DBMA) and a Log-Periodic Folded Dipole Array (LPFDA) antenna. Results demonstrate that, compared with surrogate models without sample augmentation, the proposed method efficiently reduces the mean absolute percentage error (MAPE) by over 20%, decreases the mean squared error (MSE) by more than 35%, and improves the coefficient of determination (R<sup>2</sup>) by over 4%.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuanhao Chang, Fenggan Zhang, Fengchao Zhu, Ting Li, Shuanghao Fan
{"title":"Optimisation of Sparse Linear Arrays Based on Enhanced Differential Evolution Algorithm","authors":"Yuanhao Chang, Fenggan Zhang, Fengchao Zhu, Ting Li, Shuanghao Fan","doi":"10.1049/mia2.70073","DOIUrl":"https://doi.org/10.1049/mia2.70073","url":null,"abstract":"<p>To address the challenge of reducing the peak sidelobe level (PSLL) in linear sparse array antennas, a differential evolution (DE) algorithm that integrates feasible solution repair and dynamic subpopulation selection is proposed. The algorithm initiates by generating an initial population through Logistic chaotic mapping, exploiting the ergodic and stochastic characteristics of chaos to enhance the diversity of initial solutions. Subsequently, a triple constraint handling and contribution-driven elimination to repair the initial feasible solutions is applied, thereby improving the PSLL performance of the linear array antenna while adhering to physical constraints. Additionally, the scaling factor (F) and crossover rate (CR) are dynamically adjusted in response to the iteration process and variations in fitness values, thus enhancing the algorithm's performance. Finally, through dynamic subpopulation selection, the premature convergence is mitigated, facilitating a global optimal search. Simulation results indicate that the PSLL of the antenna is effectively reduced across all three scenarios. In comparison to existing algorithms, the proposed approach demonstrates reductions in optimal PSLL of 0.99, 6.55 and 4.90 dB across 50 Monte Carlo experiments, with corresponding average PSLL reductions of 0.58, 6.82 and 6.03 dB, respectively.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manisha Jha, Nisha Panghal, A. K. Pandey, Unnati Patel, Rajesh Kumar, Surya K. Pathak
{"title":"Design and Experimental Validation of Pattern and Frequency Reconfigurable Central Plasma Antenna Array","authors":"Manisha Jha, Nisha Panghal, A. K. Pandey, Unnati Patel, Rajesh Kumar, Surya K. Pathak","doi":"10.1049/mia2.70065","DOIUrl":"https://doi.org/10.1049/mia2.70065","url":null,"abstract":"<p>The study presents the design and development of a plasma-based antenna array system for the UHF band. The system features an omnidirectional plasma antenna as its active radiator, a novel approach that has not been previously explored. Surrounding plasma reflectors around the plasma antenna form a reconfigurable array. The plasma antenna is the only radiating element in the array, whereas the surrounding plasma reflectors enhance the gain and directivity of the array, facilitating beam shaping and steering. This new design creates a fully plasma based system enabling dual reconfigurability in frequency and radiation pattern. Electronic beam scanning is possible in the azimuthal plane from 0° to 360° in 18° steps. The resonance frequency of the array is optimised to 820 MHz, resulting in a significant increase in plasma antenna gain from −5 to 0 dB within the operating frequency range. Activating the plasma reflectors reduces cross polarisation by 20 dB. The proposed array achieves a 25 dB front-to-back ratio and a bandwidth of 600 MHz. The array's RCS varies from 6 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mtext>dBm</mtext>\u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow>\u0000 <annotation> ${text{dBm}}^{2}$</annotation>\u0000 </semantics></math> to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>30</mn>\u0000 </mrow>\u0000 <annotation> ${-}30$</annotation>\u0000 </semantics></math> <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mtext>dBm</mtext>\u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow>\u0000 <annotation> ${text{dBm}}^{2}$</annotation>\u0000 </semantics></math> over the 1–12 GHz range, rendering it invisible from 8 to 12 GHz. This plasma-based array is suitable for radar, defence and navigation systems.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146007498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xingyi Liu, Feiyu Yang, Haoqian Deng, Kuiwen Xu, Yanyang Wang, Ning Xu, Hang Yang, Qingfeng Zhang
{"title":"Fast Filter-Antenna Design Method Accelerated With Physical-Inspired AI-Driven Forward Solver","authors":"Xingyi Liu, Feiyu Yang, Haoqian Deng, Kuiwen Xu, Yanyang Wang, Ning Xu, Hang Yang, Qingfeng Zhang","doi":"10.1049/mia2.70082","DOIUrl":"10.1049/mia2.70082","url":null,"abstract":"<p>To meet various customised requirements for RF devices efficiently, a fast artificial intelligence (AI)-driven design method is proposed using a physically inspired forward solver with coupling matrix via the artificial neural network (ANN). Establishing the space mapping from the coarse model to the fine model through ANN enables the rapid and accurate acquisition of a large number of S-parameters of the filter under different geometric parameters. To improve the construction efficiency and performance of the forward solver, the mutual coupling matrix of the resonator (<i>M</i> matrix) is extracted from the S-parameters obtained as input of the surrogated model, which exhibits better robustness, convergence and training efficiency. Furthermore, by integrating with the AI-driven forward solver, the performance of the RF devices could be efficiently optimised according to the requirements with the heuristic algorithms. Simulation, comparison and experimental results all demonstrate that the designed RF filters and filter antennas accordingly exhibit high efficiency and excellent prediction accuracy at various operating frequencies and bandwidths, thus proving the effectiveness and practicality of the proposed optimisation method.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145987175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahdi Parvaneh, Hassan Zakeri, Gholamreza Moradi, Mohammad Alibakhshikenari, Bandar Alshammari, Chan Hwang See, Bal Virdee, Symon K. Podilchak, Ernesto Limiti
{"title":"A Feasibility Study to Practically Implement a High-Performance Circularly Polarised Antenna Array for Point-to-Point Wireless Communication","authors":"Mahdi Parvaneh, Hassan Zakeri, Gholamreza Moradi, Mohammad Alibakhshikenari, Bandar Alshammari, Chan Hwang See, Bal Virdee, Symon K. Podilchak, Ernesto Limiti","doi":"10.1049/mia2.70078","DOIUrl":"10.1049/mia2.70078","url":null,"abstract":"<p>This article presents the design, fabrication and experimental validation of a compact linear series-fed microstrip antenna array with dual circular polarisation (CP) capability. The proposed structure consists of a <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>4</mn>\u0000 <mo>×</mo>\u0000 <mn>4</mn>\u0000 </mrow>\u0000 <annotation> $4times 4$</annotation>\u0000 </semantics></math> slotted circular patch array excited via four microstrip lines using a coplanar proximity coupling technique. Dual-CP operation is achieved through two miniaturised and distinct microstrip power divider networks, enabling the generation of either left-hand or right-hand CP based on the excitation port. To maximise gain and efficiency, the design reduces feedline branching and employs optimised slotted patch elements, resulting in low power loss and high radiation efficiency. The antenna achieves a realised peak gain of 19.4 dBic across 12.2–12.7 GHz and a 3-dB axial ratio bandwidth from 11.9 to 13.1 GHz. Simulation and measurement results demonstrate excellent agreement. Thanks to its compact size, wide bandwidth, dual-CP functionality and high gain, the proposed antenna offers a promising solution for point-to-point wireless communication systems. Compared to existing multi- and single-layer microstrip-based CP arrays, this work introduces a simplified feed structure and improved performance, demonstrating clear advancement in antenna array design.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"20 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}