Skip to main content
SpringerLink
Log in

Third-Generation Algorithm for Implementation of the Method of Mirror Noise Images for Information Measurement Systems

  • RADIO MEASUREMENTS
  • Published:
Measurement Techniques Aims and scope

A third-generation algorithm that implements the method of mirror noise images for extracting a useful signal from noise is developed. In the proposed algorithm initial processing of the initial signal is realized by means of a second-generation algorithm and the second half of the signal is then generated by a reversal of that segment of the signal where the noise is suppressed. The useful signal is practically invariant in the newly created signal while the noise signal is substantially distorted which in the course of subsequent filtration leads to an additional increase in the signal-to-noise ratio by comparison to narrow-band filtration of signals and the first- and second-generation algorithms. The algorithm is intended for information-measurement systems that function according to the principle, switched on – measured – switched off. It is shown that the new algorithm produces a substantial gain in signal-to-noise ratio by comparison with narrow-band filtration of signals and the first- and second-generation algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

Similar content being viewed by others

References

  1. V. V. Vityazev and A. Y. Linovich, “A subband equalizer with the flexible structure of the analysis/synthesis subsystem,” in: 8th Int. Conf. Computational Technologies in Electrical and Electronics Engineering (SIBIRCOM-2010), Irkutsk–Listvyanka, Russia (2010), Vol. 1, No. 11–15, 174–178.

  2. P. P. Vaidyanathan, Multirate Systems and Filter Banks, Prentice-Hall, New Jersey (1993).

    MATH  Google Scholar 

  3. J. Max, Methods and Technology of Signal Processing in Physical Measurements [Russian translation], Mir, Moscow (1993), Vol. 1.

  4. E. O. Kiseleva, V. A. Okladnov, and A. V. Sokolov, Patent 2530211 RF, “A method of filtration of signals of arbitrary form,” Izobret., Polezn. Modeli, No. 33 (2014).

  5. M. B. Stolbov, Patent 2206960 RF, “A method of noise suppression and a device for implementation of the method,” Izobret., Polezn. Modeli, No. 24 (2002).

  6. I. W. Selesnick, M. Lang, and C. S. Burrus, “Constrained least square design of FIR filters without specified transition bands,” in: Proc. IEEE Int. Conf.: Acoustics, Speech, Signal Proces. (1995), Vol. 2, pp. 1260–1263.

  7. J. S. Lim and A. V. Oppenheim, Advanced Topics in Signal Processing, Prentice-Hall, Englewood Cliffs (1988).

    MATH  Google Scholar 

  8. V. N. Chinkov, “Optimization of recursive narrow-band digital second-order dynamic filters for spectral analysis,” Metrologiya, No. 11, 9–23 (2008).

  9. E. I. Chernov and N. E. Sobolev, Patent 2480897 RF, “A method of extraction of a useful signal from noise – the method of mirror noise images and a device for implementation of the method,” Izobret., Polezn. Modeli, No. 12 (2013).

  10. E. I. Chernov, N. E. Sobolev, and V. A. Stepanov, “The method of mirror noise images,” Izmer. Tekhn., No. 8, 55–60 (2016).

  11. Ye. I. Chernov, N. eY. Sobolev, and V. A. Stepanov, “Second-generation algorithm for implementation of the method of mirror noise images,” Izmer. Tekhn., No. 8, 60–63 (2017).

  12. E. I. Chernov, N. E. Sobolev, and E. E. Bondarchuk, “An algorithm for implementation of the method of mirror noise images,” in: Graduate School. New Technologies of Science, Technology, Pedagogy: Proc. All-Russ. Sci. Appl. Conf. Science–Society–Technology–2018, Moscow, Russia, Feb. 19–20, 2018.

Download references

Author information

Authors and Affiliations

  1. Ryazan State Radio Engineering University, Ryazan, Russia

    E. I. Chernov

  2. Ryazan Design Bureau Globus, Ryazan, Russia

    N. E. Sobolev

  3. Yesenin Ryazan State University, Ryazan, Russia

    V. A. Stapanov

  4. Russian Space Systems, Ryazan, Russia

    A. A. Bondarchuk

Authors
  1. E. I. Chernov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. N. E. Sobolev
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. V. A. Stapanov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. A. A. Bondarchuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to E. I. Chernov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 5, pp. 57–60, May, 2019.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chernov, E.I., Sobolev, N.E., Stapanov, V.A. et al. Third-Generation Algorithm for Implementation of the Method of Mirror Noise Images for Information Measurement Systems. Meas Tech 62, 455–459 (2019). https://doi.org/10.1007/s11018-019-01643-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-019-01643-9

Keywords

Search

Navigation