Signal detection with а random time moment appearances with use of the algorithmcumulative sums

Authors

  • В И Воловач Volga Region State University of Service image/svg+xml
  • В М Артюшенко Moscow Regional State Technological University

DOI:

https://doi.org/10.17308/sait.2019.3/1307

Keywords:

algorithm of cumulative sums, detection of signals with random moment of appearance, non-Gaussian quasi-deterministic noise, fluctuation non-Gaussian noise, reflecting screen, detection of disorder

Abstract

The method of detecting signals with a random moment of occurrence using the cumulative sums algorithm is considered and analyzed. For example, the signal detection on the background of additive non-Gaussian noise quasi-determinant dependences of the probability of the false detection of the value of the ratio signal/noise, for different values of the threshold level of detection. Analyzed the detection algorithm of the signal at the impulse noise and background fluctuation non-Gaussian noise. It is shown that the cumulative sums algorithm allows not only to solve the problem of signal detection in real time, but also has sufficient simplicity and constructivism, which is one of the advantages in solving practical problems.

Author Biographies

  • В И Воловач, Volga Region State University of Service

    Doctor of Engineering Science, associate professor, head of the department of information and electronic service, Volga Region State University of Service

  • В М Артюшенко, Moscow Regional State Technological University

    Doctor of Engineering Science, professor, head of information technology and management systems department, Moscow Regional State Technological University

References

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Published

2019-09-02

Issue

Section

Information-measuring, Control and Network Systems

How to Cite

Signal detection with а random time moment appearances with use of the algorithmcumulative sums. (2019). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 3, 71-79. https://doi.org/10.17308/sait.2019.3/1307

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