Research on antenna design based on low-resolution digital-to-analog converters

Yue Yang

doi:10.54254/2755-2721/26/20230809

Research Article

Open access

Published on 7 November 2023

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Yang,Y. (2023). Research on antenna design based on low-resolution digital-to-analog converters. Applied and Computational Engineering,26,111-114.

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Research on antenna design based on low-resolution digital-to-analog converters

Yue Yang *^,1,

¹ Beijing University of Posts and Telecommunications

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/26/20230809

Abstract

In the ever-evolving field of communication, the optimization of antenna design and structure has garnered significant attention from professionals. Effective antenna design plays a crucial role in ensuring reliable and efficient communication systems. However, the challenge lies in overcoming the limitations imposed by current low-resolution digital-to-analog converters (DACs) on the attainment of highly efficient antenna structures. This study aims to address this issue by exploring the potential of low-resolution DACs for improving the structural design of antennas. To achieve this, we propose gradient-based and low-complexity heuristic solutions that leverage global optimization techniques. By optimizing the antenna structure using these innovative approaches, we aim to enhance the overall performance and efficiency of communication systems. The significance of this research lies in its potential to revolutionize antenna design by overcoming the constraints of low-resolution DACs. By incorporating Sigma-Delta modulation in the filter design, we anticipate significant improvements in performance when the number of transmitting antennas is comparable to the number of users. Furthermore, our investigation reveals that the application of Compressed Sensing techniques yields results that closely align with the optimal solution in scenarios where the number of transmitting antennas greatly exceeds the number of users.

Keywords

digital-to-analog conversion, antenna design, communication principles, signal processing, quantization

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References

[1]. B. E. Boser and B. A. Wooley, "The design of sigma-delta modulation analog-to-digital converters," in IEEE Journal of Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308.

[2]. I. H. S. Hassan, K. Arabi and B. Kaminska, "Testing digital to analog converters based on oscillation-test strategy using sigma-delta modulation," Proceedings International Conference on Computer Design. VLSI in Computers and Processors (Cat. No.98CB36273), Austin, TX, USA, 1998, pp. 40-46.

[3]. Yaakov Tsaig; David L. Donoho (2006). Extensions of compressed sensing. Signal Processing, 86(3), 549–571.

[4]. D. E. Bellasi, L. Bettini, C. Benkeser, T. Burger, Q. Huang and C. Studer, "VLSI Design of a Monolithic Compressive-Sensing Wideband Analog-to-Information Converter," in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 4, pp. 552-565.

[5]. J. Huang, S. Yang and J. Yuan, "A 75 dB SNDR 10-MHz Signal Bandwidth Gm-C-Based Sigma-Delta Modulator With a Nonlinear Feedback Compensation Technique," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 62, no. 9, pp. 2216-2226.

[6]. T. Cataltepe, A. R. Kramer, L. E. Larson, G. C. Temes and R. H. Walden, "Digitally corrected multi-bit Sigma Delta data converters," IEEE International Symposium on Circuits and Systems,, Portland, OR, USA, 1989, pp. 647-650 vol.1.

Cite this article

Yang,Y. (2023). Research on antenna design based on low-resolution digital-to-analog converters. Applied and Computational Engineering,26,111-114.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Functional Materials and Civil Engineering

Conference website: https://www.conffmce.org/

ISBN：978-1-83558-073-8(Print) / 978-1-83558-074-5(Online)

Conference date: 26 August 2023

Editor：Bhupesh Kumar

Series: Applied and Computational Engineering

Volume number: Vol.26

ISSN：2755-2721(Print) / 2755-273X(Online)

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