Hostname: page-component-76d6cb85b7-8p85h Total loading time: 0 Render date: 2026-07-13T03:35:04.735Z Has data issue: false hasContentIssue false
  • English
  • Français

Design of ultra-wideband antenna based on one-dimensional convolutional neural network

Published online by Cambridge University Press:  21 March 2025

Pengcheng Gao ,
Weigang Wang Open the ORCID record for Weigang Wang [Opens in a new window] ,
Yuanjian Liu ,
Qijian Liu ,
Yonghao Chen  and
Xiangming Yan
Pengcheng Gao
Affiliation:
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
Weigang Wang*
Affiliation:
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
Yuanjian Liu
Affiliation:
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
Qijian Liu
Affiliation:
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
Yonghao Chen
Affiliation:
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
Xiangming Yan
Affiliation:
Portland Institute, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
*
Corresponding author: Weigang Wang; Email: wangwg2020@163.com
Get access Rights & Permissions [Opens in a new window]

Abstract

This paper presents a notched ultra-wideband antenna designed to suppress interference from narrowband communication systems. The antenna features a defected ground structure and a stepped microstrip feedline for improved impedance matching and enhanced bandwidth. A bent slot structure is incorporated into the radiating patch to achieve the band-notched characteristic. It has a wide tunable frequency range which allows for flexible adjustment of the notch frequency. Traditional optimization methods, such as numerical analysis, are computationally expensive and inefficient, while heuristic algorithms are less precise. To address these challenges, an improved one-dimensional convolutional neural network (1DCNN-IPS) model is proposed for optimizing the bent slot design more efficiently. The trained 1DCNN-IPS model can accurately predict the antenna’s electromagnetic parameters, reducing mean squared error and training times compared to traditional methods. This provides an efficient and precise solution for antenna structural optimization.

Keywords

band notchedbent slot structureone-dimensional convolutional neural networkultra-wideband antenna

Information

Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 17 , Issue 3 , April 2025 , pp. 482 - 491
Check for updates
Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with The European Microwave Association.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Zhu, X, Yi, J, Cheng, J and He, L (2020) Adapted error map based mobile robot UWB indoor positioning. IEEE Transactions on Instrumentation and Measurement 69(9), 6336–6350.CrossRefGoogle Scholar
Bastiaens, S, Vanhie-Van Gerwen, J, Macoir, N, Deprez, K, De Cock, C, Joseph, W, De Poorter, E and Plets, D (2022) Experimental benchmarking of next-gen indoor positioning technologies (unmodulated) visible light positioning and ultra-wideband. IEEE Internet of Things Journal 9(18), 17858–17870.CrossRefGoogle Scholar
Wu, F and Liu, Z (2020) Research on uwb/imu fusion positioning technology in mine, Vientiane, Laos. In 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, .Google Scholar
Rao, PK and Mishra, R (2018) Multi Band Antenna with Multi Band Notch 2.5/3.7/6.4/8.1/12.4/14.4 GHz Characteristics, Gorakhpur, India. In 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). IEEE, .Google Scholar
Wei, F, Li, WT and Shi, XW (2012) Compact UWB bandpass filter with triple-notched bands using triple-mode stepped impedance resonator. IEEE Microwave and Wireless Components Letters 22(10), 512–514.CrossRefGoogle Scholar
Nan, J, Zhao, J and Gao, M (2021) A compact 8-states frequency reconfigurable UWB antenna. IEEE Access 9, 144257–144263.CrossRefGoogle Scholar
Zhao, Z, Zhang, C and Lu, Z (2023) A miniaturized wearable antenna with five band-notched characteristics for medical applications. IEEE Antennas and Wireless Propagation Letters 22(6), 1246–1250.CrossRefGoogle Scholar
Tang, Z, Wu, X, Zhan, J, Hu, S, Xi, Z and Liu, Y (2019) Compact UWB-MIMO antenna with high isolation and triple band-notched characteristics. IEEE Access 7, 19856–19865.CrossRefGoogle Scholar
Awan, WA, Zaidi, A, Hussain, N, Iqbal, A and Baghdad, A (2019) Stub loaded, low profile UWB antenna with independently controllable notch-bands. Microwave and Optical Technology Letters 61(11), 2447–2454.CrossRefGoogle Scholar
Li, WT, Hei, YQ and Feng, W (2012) Planar antenna for 3G/Bluetooth/WiMAX and UWB applications with dual band-notched characteristics. IEEE Antennas and Wireless Propagation Letters 11, 61–64.Google Scholar
Sanyal, R, Coomar, S, Sarkar, DC, Bera, PS and Sarkar, PP (2020) Design of UWB Monopole Antenna with 5.5/7.5 GHz Enhanced and Controllable Dual Band Rejection Characteristics, Kolkata, India. In 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE). IEEE, .Google Scholar
Kumar, OP, Kumar, P and Ali, T (2021) A compact dual-band notched UWB antenna for wireless applications. Micromachines 13(1), 12.CrossRefGoogle ScholarPubMed
Wei, F, Zou, XT and Wang, XY (2018) A differential UWB quasi–yagi antenna with a reconfigurable notched band. Frequenz 72(9–10), 401–406.CrossRefGoogle Scholar
Lv, Y, Zhang, J and Hou, H (2019) A novel triple band-notched UWB printed monopole antenna. Progress In Electromagnetics Research M 81, 85–95.CrossRefGoogle Scholar
Qi, H and Liu, H (2021) Single-ended band-notched Vivaldi antenna with common mode suppression and low cross polarization. IEEE Antennas and Wireless Propagation Letters 20(10), 1983–1987.CrossRefGoogle Scholar
Huang, J, Li, W, He, Y, Zhang, L and Wong, SW (2021) Optimization of antenna design using the ANN and the simulated annealing algorithm, Shenzhen, China. In 2021 Computing, Communications and IoT Applications (ComComAp). IEEE, .CrossRefGoogle Scholar
Tian, Y, Li, N, Wang, H, Li, XP and Lee, KY (2016) Right-angled microcoaxial bends for Si-based RF/microwave integrated circuits. IEEE Transactions on Components, Packaging and Manufacturing Technology 6(2), 290–297.CrossRefGoogle Scholar
Bouhous, A (2022) Prediction of resonance frequencies of rectangular patch antenna using a multilayer perceptron network, M’sila, Algeria. In 2022 5th International Symposium on Informatics and its Applications (ISIA). IEEE, .Google Scholar
Qin, PY, Wei, F and Guo, YJ (2015) A wideband-to-narrowband tunable antenna using a reconfigurable filter. IEEE Transactions on Antennas and Propagation 63(5), 2282–2285.CrossRefGoogle Scholar
Singh, AK, Dwivedi, AK, Singh, V and Yadav, RS (2021) A Miniaturized Planar Antenna with Optimized Slots and DGS for UWB Applications, Online. In 2021 International Conference Engineering and Telecommunication (En&T). IEEE, .Google Scholar
Sharma, N and Bhatia, SS (2019) Design of printed monopole antenna with band notch characteristics for ultra-wideband applications. International Journal of RF and Microwave Computer-Aided Engineering 29(10), e21894.CrossRefGoogle Scholar
Staszewski, P, Jaworski, M, Cao, J and Rutkowski, L (2021) A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers. IEEE Transactions on Neural Networks and Learning Systems 33(12), 7913–7920.CrossRefGoogle Scholar
Pan, M, Zhou, H, Cao, J, Liu, Y, Hao, J, Li, S and Chen, CH (2020) Water level prediction model based on GRU and CNN. IEEE Access 8, 60090–60100.CrossRefGoogle Scholar
Cheng, H, Xie, Z, Shi, Y and Xiong, N (2019) Multi-step data prediction in wireless sensor networks based on one-dimensional CNN and bidirectional LSTM. IEEE Access 7, 117883–117896.CrossRefGoogle Scholar
Simonyan, K and Zisserman, A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556.Google Scholar
Malhotra, H, Chaudhary, N, Kumar, N and Sharma, M (2021) Polygon Patch Antenna for Bluetooth And UWB Applications With Single Notch Rejection Characteristics, Noida, India. 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO). IEEE, .Google Scholar
Jain, R, Rana, N and Ojha, SS (2023) A Tri-forked Antenna for UWB applications, Bhopal, India. IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, .Google Scholar
Choudhary, N, Malhotra, H, Kumar, N and Sharma, M (2021) Polygon Patch Antenna For UWB And RADAR Applications With Notched Filter Characteristics Realized by inverted T-type stub, Noida, India. In 8th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, .Google Scholar