1,2 Kazan National Research Technical University n.a. A.N. Tupolev – KAI (Kazan, Russia)

3 Volga State university of Technology (Yoshkar-Ola, Russia)

1 aviap@mail.ru; 2 rrfayzullin@kai.ru; 3 ryabov22@mail.ru

The paper presents an optimized algorithm for specific capacity estimation of frequency-selective radio communication channels with intersymbol interference, in which the information transfer rate can exceed the Nyquist rate, and multi-position phase-shift keying and amplitude-phase-shift keying signals are used. The imposed restrictions on the application of the optimized algorithm proposed in this paper do not differ from those that were already presented in its original version.

The key features of the optimized algorithm presented in the paper are: 1) a decrease in the number of solutions to be sorted out, which is achieved due to the proven “combination property”; 2) number reduction of the required polynomials to be calculated, that used in solution the equations that are necessary to estimate the resolution time. So, in particular, this allows to reduce the amount of required calculations by 2 times for a multi-position amplitude-phase-shift keying signal; 3) using the clustering procedure to select a common kernel for polynomials to be calculated; the clustering procedure itself is based on a binary mask that determines the signs in front of the polynomial members; 4) a more accurate procedure for channel effective memory estimation is obtained, thanks to the above features. The specified features of the optimized algorithm made it possible to ensure its execution within the computer time sufficient for its implementation in real time, which allows it to be effectively used in radio engineering data transmission systems operating in frequency-selective communication channels; to estimate the symbol duration of a multi-position phase-shift keying and amplitude-phase-shift keying signals, using the approach based on the theory of resolution time, and capacity of the frequency-selective communication channel. In conclusion, the paper presents the main developing characteristics of the obtained algorithm for capacity estimation.

Lerner I.M., Fayzullin R.R., Ryabov I.V. High performance algorithm for capacity estimation of communication channels functioning on the basis of resolution time theory. Radiotekhnika. 2022. V. 86. № 4. P. 91−109. DOI: https://doi.org/10.18127/j00338486-202204-13 (In Russian)

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