Prerpints.org logo
Preprint
Review

Literature Review on Simulation and Measuring Techniques for Transmission Lines and Antennas

Altmetrics

Downloads

151

Views

66

Comments

0

A peer-reviewed article of this preprint also exists.

This version is not peer-reviewed

Submitted:

22 June 2024

Posted:

24 June 2024

You are already at the latest version

Alerts
Abstract
This literature review investigates the importance of simulation and measurement techniques in the development of transmission lines and antennas, which are crucial to the reliability and efficiency of communication system. It emphasizes the necessity of exact measurement and computational approaches for simulating complicated electromagnetic process, which help to optimize designs before physical prototypes are built. The review examines a variety of research articles that offer innovative solutions to improving accuracy in antenna design, scalability and cost challenges in antenna measurements, and crosstalk measurement methods. It also explores how these methodologies affect antenna design parameters such as gain, bandwidth, and radiation patterns, emphasizing the importance of correct modeling to ensure the performance of transmission lines and antennas in modern communication system. The review serves as a valuable reference for guiding future research and technological advancements in these fields.
Keywords: 
Subject: Engineering  -   Telecommunications

1. Introduction

In the realm of transmission lines and antennas, simulation and measurement techniques are essential since they ensure the reliability and efficiency of communication. To accomplish precise measurement and validate designs, measurement precision is necessary. Before a real prototype is built, simulation is a crucial tool for forecasting performance in transmission lines for antennas. Advanced computational methods allow for the modeling of complex electromagnetic behaviors this is important as it saves time and resources by identifying potential issues and optimizing designs before the physical prototype is constructed [1]. It is impossible to overestimate the significance of precise measurement and modeling in the field of transmission lines and antennas. It is the foundation for the effectiveness of modern communication systems. Everything from satellite broadcasting to mobile communication will be impacted by the emergence of new technology. Innovation and communication advancement will be fueled by the measurement and modeling techniques in transmission lines and antennas continuing to evolve. In order to optimize communication systems, it is important to understand the developments in modeling and measurement techniques, as these technologies are essential to the design, analysis, and improvement of transmission lines and antennas. Without the need for time-consuming and costly physical prototypes, engineers may model and anticipate the behavior of communication systems under a variety of scenarios using simulation tools [2]. The increasing complexity of current communication systems, such as the move to higher frequencies and the implementation of multiple-input multiple-output (MIMO) technology, led to the evolution of these techniques [3]. The performance of the antennas under actual operating settings is then confirmed using measurement tools like field probes and network analyzers [4]. This literature review on simulation and measuring techniques for transmission lines and antennas encompasses the existing research in the field. As part of this, the existing state of knowledge will be determined, and simulation models for transmission lines and antennas will be thoroughly analyzed and their efficacy, accuracy, and suitability for various situations will be evaluated. It should act as a reference point for transmission lines and antennas, leading future research and technological developments.

2. Related Works

Several papers on simulation and measurement techniques for transmission lines and antennas are reviewed. Studies have underlined the need of accurate representations in numerical simulations; summary descriptions of the research publications are provided below.
N. H. Abd Rahman, et al. present a study that focuses on simulating the radiating element made up of electro-thread structures in an effort to improve the accuracy of wearable antenna design. These structures are typically oversimplified as flawless metallic surfaces, which causes discrepancies between simulation and actual performance. In order to address this, the scientists suggest a brand-new technique for describing conductive fabrics’ electrical characteristics—an essential component of wearable antennas. In comparison to more traditional techniques like I-V curve measurement, this method provides a more accurate way to determine conductivity. It measures the scattering parameters of a two-port transmission line. The study validates the effectiveness of the method by comparing results from printed copper (used as a control sample) and ShieldIt Super (an off-the-shelf conductive textile) samples operating at 2.45 GHz. The calculated conductivity closely aligns with expected values, indicating the reliability of the proposed technique, although further validation across different frequency ranges is warranted [5].
Rivera et al. perform an innovative study on hybrid encryption algorithms, investigating an imaginative combining of asymmetric and symmetric cryptographic approaches to improve data security in digital communications. While their major focus is on cryptography, their work has striking parallels to the fundamental challenges of signal integrity and safe transmission that are essential to the design and simulation of transmission lines and antennas. This multidisciplinary approach focuses on the connections between cryptographic security and electromagnetic signal propagation. Just as hybrid encryption algorithms combine the capabilities of many cryptographic methods, current antenna and transmission line designs frequently use hybrid techniques to maximize performance and security [6].
M. Saporetti et al. offer a solution to the antenna measurements’ scalability and cost problems. They recommend that measurements be concentrated on the pertinent portion of the antenna, that exterior scattering be modeled numerically, and that equivalent current (EQC) be used as a source in simulations and as a precise representation of the antenna. Numerous applications, such as automotive, aerospace, and electromagnetic compatibility (EMC), have effectively verified this approach [7].
J. L. Rotgerink et al. conducted a study comparing crosstalk measurement techniques for determining crosstalk between cables made of copper or car-bon-fiber reinforced plastic (CFRP). The evaluation considered cost-effectiveness, accuracy, speed, and complexity. Measurements were conducted on PCBs with copper traces, using techniques like Vector Network Analyzer (VNA), Spectrum Analyzer (SA), EMI receiver (EMI-R), single-ended VNA measurements using signal generator and oscilloscope. Results were also compared to three simulation techniques for verification. The study aims to improve crosstalk detection in cables [8].
A novel technique for detecting transmission line voltage utilizing numerous D-dot electric field sensors is proposed by J. Wang et al. Contact measurement has always been associated with problems like expensive, heavy equipment, and dangerous insulation. Although it has become a viable option, non-contact measuring using tiny field sensors has difficulties with data calculations and calibration accuracy. The study presents a voltage measuring strategy based on the Gauss-Kronrod integral technique to address these. The technique uses an integral channel beneath the transmission line to measure the electric field strength of D-dot sensors, and then uses numerical integration to compute voltage values. Finite element simulations and experimental verification are used to confirm the suggested approach, which shows excellent accuracy with errors of less than 0.3% [9].
Signal integrity (SI) problems resulting from crosstalk and signal reflection in multi-transmission lines are addressed by G. Yang et al. in high-frequency signal transmission of electro absorption modulator (EAM) array chips. Using electromagnetic simulation, they suggest and improve an eight-channel high-frequency transmission line structure. To increase signal integrity, four structural improvements are suggested: covering ground, siding metallization, grounding hole, and a mix of all three. Based on simulation results, signal integrity is improved when all three approaches are used concurrently and only cover ground. The -3 dB bandwidth surpasses 50 GHz when the original model with ground covering is processed, and there is less than -25 dB of crosstalk between neighboring lines. As a result, the suggested multi-channel transmission line layout may work with 1.6 T and 800 G EAM array chips [10].

3. Effect of Simulation and Measuring Techniques

3.1. Influence on Antenna Design Parameters

The implementation of simulation and measurement methodologies is pivotal in crafting, refining, and assessing the functionality of antennas and transmission lines. Extensive research highlights the significance of accurate modeling for a variety of components, including wireline systems and cables [11,12]. Antenna interaction evaluation is strengthened by incorporating empirical data with simulated procedures. Additionally, using cutting-edge methods like using equivalent current surfaces in full-wave simulations provides affordable ways to evaluate antenna efficacy.
Precise simulation techniques are pivotal in shaping the characteristics of antenna designs, impacting factors like gain, bandwidth, and radiation patterns [13,14,15,16]. These methods include time-domain simulations and thorough electromagnetic analysis, both of which are essential for a reliable evaluation of antenna performance. However, these simulations can come at a significant computing expense, especially when it comes to operations like modifying design dimensions or evaluating variability. Surrogate modeling has gained popularity as a cost-effective solution to these problems, offering realistic simulations at a fraction of the expense. By utilizing machine learning and focused modeling techniques, engineers can more effectively adjust antenna designs, reduce the number of training simulations required, and enhance the models’ predictive capabilities without sacrificing accuracy.

3.2. Role of Advancement Measurement Techniques

Advanced measurement methods are essential for describing antenna performance. For accurate antenna boresight direction determination, planar near-field measurements employ active alignment correction, position correction, non-canonical transforms, and phase-recovery techniques [17,18]. These techniques are fundamental to effective industrial testing and microwave holographic metrology-based non-destructive aperture diagnostics [19,20]. While antenna and transmission line studies differ from assistive technology research, the basic principles of electromagnetic communication and signal processing are utilized in a variety of sectors. For example, research into voice-controlled wheelchairs shows how these principles may be used to increase accessibility and mobility for people with impairments [21]. This research combines signal processing approaches for voice recognition with wireless communication principles to develop responsive and dependable assistive devices. Anechoic chambers offer regulated interior settings for precise assessments of antenna radiation characteristics, particularly in situations where antenna size constraints prevent direct far-field measurements, hence requiring the use of near-field to far-field transformation methods [22]. For the purpose of making further far-field calculations possible, time-domain analysis is essential for identifying the near electric field in antenna observations. When combined, these methods improve comprehension and evaluation of antenna performance in a range of environments, from industrial testing to diagnostic applications.

3.3. Analysis of Simulation and Measurement Accuracies

The performance and dependability of transmission lines and antennas can be severely impacted by simulation and measurement errors [23,24,25,26]. Measurement uncertainty in fault location algorithms can lead to longer outages and higher maintenance expenses. Inaccurate depiction resulting from intricate structures in antennas can lead to discrepancies between simulation and measurement outcomes, which can compromise their dependability. Maintaining impedance and radiation performance in textile-based antennas requires accurate modeling of material properties, such as conductivity. System performance and dependability can be increased by putting techniques like maximum likelihood estimation and transmission line approaches into practice. These techniques can assist decrease uncertainties and enhance the accuracy of simulations and measurements.

4. Conclusions

The review provides a comprehensive overview of the critical role that precise simulation and measurement techniques play in advancing the fields of transmission lines and antennas. It emphasizes how important they are to maintaining the dependability and effectiveness of modern communication technologies, such as satellite broadcasting and mobile devices. Engineers can optimize resource efficiency by using advanced computational approaches to anticipate performance, foresee probable problems, and revise designs prior to building physical prototypes. The study covers a number of experiments that demonstrate creative methods for improving measurement precision and simulating complex electromagnetic processes, which eventually leads to better antenna designs. It also emphasizes the significance of advanced measurement techniques in assessing antenna performance, as well as the influence of simulation and measurement methods on major antenna characteristics including gain, bandwidth, and radiation patterns. Recognizing the difficulties caused by inaccurate simulation and measurement results, the review highlights the need for accurate modeling and characterization to guarantee the performance of transmission lines and antennas in modern communication systems. All things considered, it is an essential resource for guiding future research and technological advances in these fields.

Declaration of Competing Interest

The authors declare that they have no known competing of interest.

References

  1. Keysight, “Techniques for Precise Cable and Antenna Measurements in the Field | Keysight.” [Online]. Available online: https://www.keysight.com/us/en/assets/7018-03477/application-notes/5991-0419.pdf (accessed on 30 April 2024).
  2. “Simulation of Communication Systems: Modeling, Methodology and Techniques | SpringerLink.” Accessed: Apr. 30, 2024. [Online]. [CrossRef]
  3. “Sensors | Free Full-Text | MIMO Antennas: Design Approaches, Techniques and Applications.” Accessed: Apr. 30, 2024. [Online]. [CrossRef]
  4. “Network Analyzer vs Spectrum Analyzer: What’s the Difference in Use & Specifications - Keysight Technologies.” Accessed: Apr. 30, 2024. [Online]. Available: https://savings.em.keysight.com/en/used/knowledge/guides/network-analyzer-vs-spectrum-analyzer.
  5. N. H. Abd Rahman, Y. Yamada, M. S. Zulkipli, and M. Shakir Amin Nordin, “Transmission Line Measurement for Characterization of New Textile Sample,” in 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), Nov. 2019, pp. 1–4. [CrossRef]
  6. L. B. Rivera, J. A. Bay, E. R. Arboleda, M. R. Pereña, and R. M. Dellosa, “Hybrid Cryptosystem Using RSA, DSA, Elgamal, And AES,” vol. 8, no. 10, 2019.
  7. M. Saporetti, L. Scialacqua, F. Saccardi, and L. J. Foged, “Overview on Combination of Numerical Modelling and Near-Field Measurements for Complex Electromagnetic Systems,” in 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, Jul. 2020, pp. 1689–1690. [CrossRef]
  8. J. L. Rotgerink, G. Erotas, N. Moonen, and F. Leferink, “Comparing Various Measurement and Simulation Techniques for Estimating Crosstalk,” in 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, Sep. 2020, pp. 1–6. [CrossRef]
  9. J. Wang, X. Li, Q. Wang, L. Zhong, and X. Zhu, “Research on transmission line voltage measurement method based on Gauss–Kronrod integral algorithm,” Meas. Sci. Technol., vol. 31, no. 8, p. 085103, May 2020. [CrossRef]
  10. G. Yang, D. Guo, M. Li, N. Zhu, and X. Wang, “Simulation Design and Optimization of Multi-Channel High-Frequency Transmission Lines Applied to Optical Modules,” in 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC), Sep. 2022, pp. 518–520. [CrossRef]
  11. K. Hollaus, S. Bauer, M. Leumüller, and C. Türk, “Measurement and modeling of effective cable parameters of unshielded conductors,” COMPEL - Int. J. Comput. Math. Electr. Electron. Eng., vol. 41, no. 3, pp. 1041–1051, Jan. 2022. [CrossRef]
  12. J. Famoriji and T. Shongwe, “Transmission line characterization and modeling for electronic circuits and systems design,” Indones. J. Electr. Eng. Comput. Sci., vol. 30, no. 2, Art. no. 2, May 2023. [CrossRef]
  13. S. Koziel, N. Çalık, P. Mahouti, and M. A. Belen, “Accurate Modeling of Antenna Structures by Means of Domain Confinement and Pyramidal Deep Neural Networks,” IEEE Trans. Antennas Propag., vol. 70, no. 3, pp. 2174–2188, Mar. 2022. [CrossRef]
  14. J. P. Jacobs, “Accurate and efficient modeling of gain patterns of multiband pixelated antenna by deep neural networks,” in 2022 International Conference on Electromagnetics in Advanced Applications (ICEAA), Sep. 2022, pp. 306–306. [CrossRef]
  15. Pietrenko-Dabrowska, S. Koziel, and M. Al-Hasan, “Accurate Modeling of Antenna Structures by Means of Domain Confinement and Gradient-Enhanced Kriging,” in 2021 15th European Conference on Antennas and Propagation (EuCAP), Mar. 2021, pp. 1–5. [CrossRef]
  16. Y. Ziying, Q. Fan, L. Jiajun, W. Jingyi, and C. Bin, “Simulation of Parameters of A Microstrip Array Antenna Based on Equivalent Source,” in 2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT), Aug. 2022, pp. 772–774. [CrossRef]
  17. S. Gregson, J. McCormick, and C. Parini, “Advanced planar near-field antenna measurements,” in Principles of Planar Near-Field Antenna Measurements, IET Digital Library, 2023, pp. 413–550. [CrossRef]
  18. S. Gregson, J. McCormick, and C. Parini, Principles of Planar Near-Field Antenna Measurements. IET Digital Library, 2023. [CrossRef]
  19. S. Gregson, J. McCormick, and C. Parini, “Measurements - practicalities of planar near-field antenna measurements,” in Principles of Planar Near-Field Antenna Measurements, IET Digital Library, 2023, pp. 125–244. [CrossRef]
  20. S. Gregson, J. McCormick, and C. Parini, “Introduction to near-field antenna measurements,” in Principles of Planar Near-Field Antenna Measurements, IET Digital Library, 2023, pp. 39–68. [CrossRef]
  21. J. R. Amoguis, M. A. Lingon, E. R. Arboleda, and A. Cahigan, “Development of a Voice-Controlled Wheelchair for Physically Impaired Individuals,” Glob. Clin. Eng. J., vol. 6, no. 3, pp. 6–17, 2024. [CrossRef]
  22. C. Gennarelli, F. Ferrara, R. Guerriero, and F. D’Agostino, “Introduction,” in Non-Redundant Near-Field to Far-Field Transformation Techniques, IET Digital Library, 2022, pp. 1–18. [CrossRef]
  23. F. D. Marvasti and A. Mirzaei, “Mal-operation analysis of LCC-HVDC protection schemes in simulation studies due to inaccurate transmission line modelling,” Aust. J. Electr. Electron. Eng., vol. 19, no. 4, pp. 407–416, Oct. 2022. [CrossRef]
  24. J. Fu, G. Song, and B. De Schutter, “Influence of Measurement Uncertainty on Parameter Estimation and Fault Location for Transmission Lines,” IEEE Trans. Autom. Sci. Eng., vol. 18, no. 1, pp. 337–345, Jan. 2021. [CrossRef]
  25. “Parameters and Factors Affecting Reliability and Accuracy in Measuring Electro-Textile Conductivity Using Transmission Line Method | IEEE Journals & Magazine | IEEE Xplore.” Accessed: Apr. 28, 2024. [Online]. [CrossRef]
  26. J. Fan, C. Ai, A. Guo, X. Yan, and J. Wang, “Evaluation of Electric Field Integral Voltage Measurement Method of Transmission Line Based on Error Transmission and Uncertainty Analysis,” Sensors, vol. 21, no. 13, Art. no. 13, Jan. 2021. [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

facebook logotwitter logolinkedin logo
MDPI Initiatives
Important Links
Subscribe

Disclaimer

Terms of Use

Privacy Policy

© 2024 MDPI (Basel, Switzerland) unless otherwise stated