Autors: Tsenov, G. C., Trushev, I. M., Kirilov, S. M., Mladenov, V. M.
Title: Analysis of Memristor-Based Passive Filters
Keywords: "T"- and "Π" (Pi)-shaped circuits, A-matrix, circuits' impedances, experimental i-v measurements, memristance tuning, memristor, memristor-based filters, passive low-pass filter, two-port network

Abstract: Electronic filters are important modules, which are widely applicable in different radio-electronic circuits and devices. In many cases, their cut-off frequencies and pass bands should be adjusted, in order to change the filter characteristics. In this sense, memristor-based filters are significant ones, owing to the possibility of simple alteration of memristance by external voltage pulses with comparatively high level and low frequency. When the memristor filters are in use, the input signal should be lower than the memristor activation threshold, in order to hold their resistance. Then, the memristors operate as linear and constant resistors. In this research, an additional analytical investigation of a multi-unit low-pass filter is provided, using the theory of two-port circuits. An equivalent circuit with minimal number of elements is also considered. Experimental analyses on memristor-based filters are conducted, using digital signal generator and an oscilloscope. Additional LTSPICE simulations are made and the derived results confirm the proper operation of the memristor filters under analysis.

References

  1. Strukov, D.B., Snider, G.S., Stewart, D.R. And Williams, R.S., 2008. "The missing memristor found," Nature, vol. 453 (7191), pp. 80-83.
  2. Ascoli, A., Tetzlaff, R., Corinto, F., Mirchev, M. And Gilli, M., 2013, April. "Memristor-based filtering applications," In 2013 14th Latin American Test Workshop-LATW (pp. 1-6). IEEE.
  3. Yongbin, Y.U., Nijing, Y., Chenyu, Y. And Tashi, N., 2019. "Memristor bridge-based low pass filter for image processing," Journal of Systems Engineering and Electronics, vol. 30, issue (3), pp. 448-455.
  4. Yener, S.C., Mutlu, R. And Kuntman, H., 2014, April. "A new memristor-based high-pass filter/amplifier: Its analytical and dynamical models, ". In 2014 24th International Conference Radioelektronika (pp. 1-4). IEEE.
  5. Raut, R. And Swamy, M.N.S., 2010. "Modern analog filter analysis and design: A practical approach, ". John Wiley & Sons.
  6. Joglekar, Y.N. And Wolf, S.J., 2009. "The elusive memristor: Properties of basic electrical circuits," European Journal of physics, vol. 30, issue (4), pp. 661-675.
  7. Biolek, Z., Biolek, D. And Biolkova, V., 2009. "SPICE model of memristor with nonlinear dopant drift," Radioengineering, vol. 18, issue (2).
  8. Zafar, M., Awais, M.N. And Shehzad, M.N., 2022. "Computationally efficient memristor model based on Hann window function," Microelectronics Journal, 125, p.105476.
  9. Prodromakis, T., Peh, B.P., Papavassiliou, C. And Toumazou, C., 2011. "A versatile memristor model with nonlinear dopant kinetics, ". IEEE transactions on electron devices, vol. 58, issue (9), pp. 3099-3105.
  10. Kirilov, S. M., Yordanov, R. S., & Mladenov, V. M. (2013). "Analysis and synthesis of band-pass and notch memristor filters, ". In 17th WSEAS International Conference on CIRCUITS (part of CSCC'13).
  11. V. Mladenov, S. Kirilov and I. Zaykov, "A General Model for Metal Oxide-Based Memristors and Application in Filters," 2022 11th International Conference on Modern Circuits and Systems Technologies, Bremen, Germany, 2022, pp. 1-4, doi: 10.1109/MOCAST54814.2022.9837766. (band-stop)
  12. V. Mladenov and S. Kirilov, "A Memristor Model with a Modified Window Function and Activation Thresholds," 2018 IEEE International Symposium on Circuits and Systems, Florence, Italy, 2018, pp. 1-5, doi: 10.1109/ISCAS.2018.8351429.
  13. H, Fernandez-Canque, "Analog Electronics Applications-fundamentals of design and analysis," CRC Press, 2017.
  14. V. Mladenov, "A Unified and Open LTSPICE Memristor Model Library," MDPI Electronics, vol. 10, no. 13, pp. 1-27, 2021.
  15. A. Ascoli, R. Tetzlaff, Z. Biolek, Z. Kolka, V. Biolkova, D. Biolek, "The Art of Finding Accurate Memristor Model Solutions," IEEE J. Emerg. Sel. Topics Circ. Syst., vol. 5, pp. 133-142, 2015.
  16. G. P. Cherneva and V. I. Hristova, "Evaluation of FHSSS Stability against Intentional Disturbances," 2020 28th National Conference with International Participation-TELECOM, Sofia, Bulgaria, 2020, pp. 14-16, doi: 10.1109/TELECOM50385.2020.9299562.
  17. Mladenov, V., 2020, September. "A modified tantalum oxide memristor model for neural networks with memristor-based synapses, ". In 2020 9th International Conference on Modern Circuits and Systems Technologies, (pp. 1-4). IEEE. doi: 10.1109/MOCAST49295.2020.9200238.

Issue

International Conference Automatics, Robotics and Artificial Intelligence, ICARAI 2026 - Proceedings, pp. 1-6, 2026, Bulgaria, https://doi.org/10.1109/ICARAI70085.2026.11635450

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus