Analysis of signal integrity improvement in high frequency digital circuits

Authors

  • Hongtao Jiang

DOI:

https://doi.org/10.54097/qpnjkq45

Keywords:

high frequency digital signals, sampling, quantization, coding, frequency, bandwidth, code rate, power, transmission distance, bit error rate, interference immunity, communication, radar, measurement and control, future development trend.

Abstract

The purpose of this paper is to explore the characteristics and applications of high frequency digital signals. With the continuous development of modern communication technology, high frequency digital signals have become an essential and important part of the digital communication field. Firstly, this paper introduces the basic concepts of high-frequency digital signals, including the sampling, quantization and coding processes of digital signals. Secondly, this paper analyses the main characteristics of high frequency digital signals, including frequency, bandwidth, code rate and power. The transmission characteristics of high frequency digital signals are further discussed, including transmission distance, transmission bit error rate and interference immunity. Finally, the paper discusses the applications of high-frequency digital signals in the fields of communication, radar, measurement and control, and provides an outlook on the future development trend of high-frequency digital signal technology. In conclusion, the rapid development of high-frequency digital signals has supported the progress of digital communication technology, and also brought about great changes to the development of human society.

Downloads

Download data is not yet available.

References

Z. Yan, "Simulation of high-frequency signal noise suppression in digital circuit remote networks," Computer Simulation, vol. 37, no. 2, pp. 471-475, 2020.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.

J. Li, M. Li, T. Yang, et al., "Low-complexity Wiener filter channel estimation algorithm in large-scale MIMO-OFDM systems," Journal of Jilin University (Engineering Edition), vol. 52, no. 1, pp. 211-218, 2022, doi: 10.13229/j.cnki.jdxbgxb20200688. K. Elissa, “Title of paper if known,” unpublished.

Y. Zhao, J. Lv, Y. Qin, et al., "Optimal design and experimental study of a miniature Fourier transform spectrometer," China Optics, vol. 13, no. 2, pp. 411-425, 2020, doi: 10.3788/CO.20201302.0411.

Z. Fan, "Automatic spatial interference harmonic noise suppression method for digital electronic circuits," Journal of Jiamusi University (Natural Science Edition), vol. 37, no. 6, pp. 907-911, 2019, doi: 10.3969/j.issn.1008-1402.2019.06.014.

J. Chen and W. Fan, "Array signal Wiener filtering for active sonar image enhancement processing," Acoustics Technology, vol. 40, no. 6, pp. 858-863, 2021.

Z. Hou, "PM vector coding algorithm for high-dimensional discrete Fourier transform in digital signal processing," Digital Technology and Applications, vol. 2009, no. 12, pp. 33-35.

Z. Jiang, X. Xu, and J. Bian, "Analysis of noise reduction performance of joint LMD-ICA method in rolling bearing vibration signal," Journal of Beijing University of Information Science and Technology (Natural Science Edition), vol. 32, no. 3, pp. 13-17, 2017, doi: 10.16508/j.cnki.11-5866/n.2017.03.003.

Y. Yin, G. Qiao, and F. Zuo Liu, "Hydroacoustic OFDM channel equalization based on virtual time-reversal mirror," Journal of Communication, vol. 36, no. 1, pp. 90-99, 2015, doi: 10.11959/j.issn.1000-436x.2015011.

Y. Chen, B. Tian, C. Wang, et al., "Off-platform interference suppression of FDA based on MVDR beamforming," Systems Engineering and Electronics Technology, vol. 45, no. 1, pp. 32-40, 2023, doi: 10.12305/j.issn.1001-506X.2023.01.05.

J.I. Buskenes, J.P. Asen, C.-I.C. Nilsen, et al., "An optimized GPU implementation of the MVDR beamformer for active sonar imaging," IEEE Journal of Oceanic Engineering: A Journal Devoted to the Application of Electrical and Electronics Engineering to the Oceanic Environment, vol. 40, no. 2, pp. 278-289, 2015, doi: 10.1109/JOE.2014.2320631.

S. Haykin, Adaptive Filter Theory, 5th ed. Prentice Hall, 2013.

Downloads

Published

29-03-2024