Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2022. 10
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DOI: https://doi.org/10.30898/1684-1719.2022.10.1

 

The model of spectral correlation function
for OFDM signals with a cyclic prefix

 

O.A. Guschina, T.Ya. Shevgunov, E.N. Efimov, Zh.A. Vavilova

 

Moscow Aviation Institute (National Research University)
125993, Russia, Moscow, Volokolamskoe shosse, 4

 

The paper was received August 2, 2022.

 

Abstract. The paper is aimed at building analytical models of signals possessing complex types of digital modulation within the framework of the cyclostationary approach. The proposed analytical approach includes procedures leading to closed-form analytical expressions of spectral correlation functions (SCF), which are functions depending on two arguments: frequency and cyclic frequency. They describe the probabilistic properties of the analyzed signals assuming the signals can be modeled as realizations of second-order cyclostationary random processes (CSRP). The proposed approach of obtaining both normal and conjugate SCFs is based on the modified shaping operator technique, which turns out to be an effective tool applied to CSRP analysis. The technique handles the constructing the variety of the typically used in practice CSRPs in the form of chained transforms applied to one or several independent CSRPs of known characteristics by means of relatively simple operations, widely expressed in signal and systems theory. These operations performed over signals, which are assumed to be realizations of the CSRP, correspond to the transformations of their SCF, whose formulae are presented in the paper. The paper also reveals the exact analytical expressions obtained for the normal and conjugate SCF of OFDM signals with cyclic prefix (CP) whose subcarriers are modulated using BPSK and QPSK methods. By example of OFDM signal with a CP and QPSK subcarrier modulation, a quantitative comparison was carried out between the analytical SCF assembled according to the model formula and its estimate obtained by a numerical simulation using the estimation method based on the mixed two-dimensional fast Fourier transform. It is shown that the SCF estimate converges in root-mean sense to the constructed analytical model with an increase in the duration of the analyzed signal data sample.

Key words: cyclostationary random processes, spectral correlation function, digital modulation, OFDM, cyclic prefix, shaping operator.

Financing: The research is funded by the grant of the Russian Science Foundation, grant №22-21-00497.

Corresponding author: Shevgunov Timofei Yakovlevich, shevgunov@gmail.com

References

1. Hwang T., Yang C., Wu G., Li S., Ye Li G. OFDM and Its Wireless Applications: A Survey. IEEE Transactions on Vehicular Technology. 2009. V.58. №4. P.1673-1694. https://doi.org/10.1109/TVT.2008.2004555

2. Sclar B. Digital Communications Fundamentals and Applications. New Jersey, Prentice Hall. 2019. 1011 p.

3. Serdyukov P.N., Grigor'ev A.S., Gugalov K.G., Puchkov G.Yu. Cyclic prefix in OFDM. Ehlektronnye informatsionnye sistemy [Electronic information systems] 2014. №1. P.59-68. (In Russian)

4. Gardner W. A., Napolitano A., Paura L. Cyclostationarity: Half a century of research. Signal Processing. 2006. V.86. P.639-697. https://doi.org/10.1016/j.sigpro.2005.06.016

5. Gardner W.A. The spectral correlation theory of cyclostationary time-series. Signal Processing. 1986. V.11. №1. P.13-36. https://doi.org/10.1016/0165-1684(86)90092-7

6. Napolitano A. Cyclostationary Processes and Time Series Theory, Applications, and Generalizations. London, Academic Press. 2019. 590 p. https://doi.org/10.1016/C2017-0-04240-4

7. Efimov E.N., Shevgunov T.Ya., Filimonova D.V. The use of cyclostationary characteristics in estimating the delay time of signals. X Vserossiiskaya nauchno-tekhnicheskaya konferentsiya «Radiolokatsiya i radiosvyaz'» [10th All-Russian Scientific and Technical Conference "Radar and radio communication"]. Moscow. 2016. P.353-358. (In Russian)

8. Gardner W.A. Spectral Correlation of Modulated Signals: Part I – Analog Modulation. IEEE Transactions on Communications. 1987. V.35. №6. P.584-594. https://doi.org/10.1109/TCOM.1987.1096820

9. Gardner W.A., Brown W., Chen C.-K. Spectral Correlation of Modulated Signals: Part II - Digital Modulation. IEEE Transactions on Communications. 1987. V.35. №6. P.595-601. https://doi.org/10.1109/TCOM.1987.1096816

10. Sohn S.H., Han N., Kim J.M., Kim J.W. OFDM Signal Sensing Method Based on Cyclostationary Detection. 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications. 2007. P.63-68. https://doi.org/10.1109/CROWNCOM.2007.4549773

11. Shevgunov T.Ya. Shaping operator technique for modelling cyclostationary random processes. T-Comm: Telekommunikatsii i transport [T-Comm: Telecommunications and Transport]. 2021. V.15. №8. P.4-12. (In Russian) https://doi.org/10.36724/2072-8735-2021-15-8-4-12

12. Lathi B.P. Modern Digital and Analog Communication Systems. New York, Oxford University Press. 2010. 903 p.

13. Shevgunov T. Ya. Key features of cyclostationary description of random processes, through the example of pulse string with random amplitudes. Radiotekhnicheskie i telekommunikatsionnye sistemy [Radio and telecommunication systems] 2019. №2. P.30-40. (In Russian)

14. Efimov E.N., Shevgunov T.Ya. Cyclostationary models of radio signals with quadrature amplitude modulation. Ehlektrosvyaz' [Telecommunications]. 2016. №11. P.65-71. (In Russian)

15. Shevgunov T.Ya., Guschina O.A. Using two-dimensional fast Fourier transform for estimating spectral correlation function. T-Comm. 2021. V.15. №11. P.54-60. https://doi.org/10.36724/2072-8735-2021-15-11-54-60

16. Shevgunov T., Efimov E. Two-dimensional FFT Algorithm for Estimating Spectral Correlation Function of Cyclostationary Random Processes. 2019 Signal Processing Symposium. Krakow, Poland. 2019. P.216-220. https://doi.org/10.1109/SPS.2019.8881963

For citation:

Guschina O.A., Shevgunov T.Ya., Efimov E.N., Vavilova Zh.A. The model of spectral correlation function for OFDM signals with a cyclic prefix. Zhurnal radioelektroniki [Journal of Radio Electronics] [online]. 2022. №10. https://doi.org/10.30898/1684-1719.2022.10.1 (In Russian)