Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2020. No. 11
ContentsFull text in Russian (pdf)
DOI https://doi.org/10.30898/1684-1719.2020.11.7
UDC 621.391.01
L. E. Nazarov, V. M. Smirnov
Fryazino branch of Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Vvedenskogo sq., 1, Fryazino 141190, Moscow region, Russia
20, 2020
The paper is received on November
Abstract. Statistical models of narrow-band transionosphere channels, which determine the occurrence of signal fading due to random temporal and spatial fluctuations of the electron density of ionospheric irregularities, are considered. Fading models are based on the use of empirical relationships with respect to the distribution density of the amplitude of the signals at the output of the transionosphere channel as a random process. The parameters of empirical distribution densities (lognormal distribution, m-Nakagami distribution, Rician distribution) are related to the scintillation coefficient of signal fading. Using the considered models of signal fading, a technique is presented for estimating the probability of erroneous reception of digital signals with phase shift keying during reception. Using this technique, estimates of energy losses with respect to propagation in free space were made, reaching 0.001 for a scintillation coefficient value of 0.5 to 3 dB for signals with 2- and 4-phase shift keying.
Key words: ionosphere, signal, signal fading, Rayleigh-Rician distribution, error- performances.
References
1. Spilker J.J. Digital communication by satellite. Prentice-Hall, Inc., Englewood Cliffs, New Jersey. 1977. 672 p.
2. Nazarov L.E., Antonov D.V., Batanov V.V., Zudilin A.S., Smirnov V.M. Scintillation models for signals propagating along ionospheric satellite radio lines. RENSIT: Radioelectronica. Nanosistemi. Informacionnye tehnologii [RENSIT: Radioelectronics. Nanosystems. Information Technologies]. 2019. Vol.11. No.1. P.57-64.
3. Crane R.K. Ionospheric Scintillation. Proceeding of IEEE. 1977. Vol.2. P.180-199.
4. Rino C.L. The Theory of Scintillation with Applications in Remote Sensing. John Wiley & Sons, Hoboken, New Jersey. 2011. 244 p.
5. Nazarov L.E., Batanov V.V. Analysis of radio pulse distortions for propagation through ionosphere satellite transmission channels. Elektromagnitnyye volny i elektronnyye sistemy [Electromagnetic waves and electronic systems]. 2016. Vol.21. No.5. P.37-45. (In Russian)
6. Ionospheric propagation data and prediction methods required for the design of satellite services and systems. Recommendation ITU-R P.531-11 (01.2012)
7. Iakovlev O.I., Iakubov V.P., Uriadov V.P., Paveliev A.G. Rasprostranenie radiovoln [Propagation of Radiowaves]. Moscow, LENAND Publ. 2009. 496 p. (In Russian)
8. Sklar B. Digital Communication. Fundamentals and Application. Prentice Hall. 2001. 1079 p.
For citation:
Nazarov L.E., Smirnov V.M. Estimation of signal reception probability characteristics using models of fading transionosphere channels. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2020. No.11. https://doi.org/10.30898/1684-1719.2020.11.7 (In Russian)