Journal of Radio Electronics. eISSN 1684-1719. 2024. №11
Full text in Russian (pdf)
DOI: https://doi.org/10.30898/1684-1719.2024.11.6
FLUCTUATIONS OF Correlation PERFORMANCES
in Digital noise Communications
V.I. Kalinin, O.A. Byshevski-Konopko
Kotelnikov IRE RAS Frayzino branch
141190, Russia, Moscow reg., Frayzino, Vvedenskiy str., 1
The paper was received July 11, 2024.
Abstract. Ultra-wideband noise communication system using the transmitted reference technique with the time diversity is proposed for a covert data transmission through additive white Gaussian noise channel. Spectrum modulation of transmitted signals is performed as a result from linear superposition between the noise references and informative noise carriers delayed at the time diversity significantly exceeding the coherent time. The delayed noise carriers are multiplied by antipodal symbols at the same rate of binary data stream. Spectral power density of result noise signals is modulated by antipodal harmonic functions with the period in inverse proportion to diversity time delay. The time delay in the correlation receiver corresponds to the diversity time delay of informative noise signals. The correlation estimation problem appears in the case of data transmitting on the base of continuous noise carriers. Fluctuation analysis of correlation estimations with nonstationary trend at the data rate is performed. The intersystem jamming occurring in digital noise communications increase the correlation fluctuations at the receiver output and initiate asymptotic limitation of correlation performances without thermal noise in a wireless channel. Nonstationary trends of output correlation estimations become little if the informative time delay significantly exceeds the coherent times as noise carriers as additive white Gaussian noise. The forming of digital noise carriers is produced by the time window method. Simulation of noise communications shows that utilizing continuously noise carriers with time windows permits to decrease randomly fluctuations of correlation performances in the case when the product of noise signal bandwidth by bit duration exceeds one hundred units.
Key words: noise communications, spread spectrum, window method, spectrum modulation, correlation estimation.
Financing: The work was carried out within the framework of the state task of Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences.
Corresponding author: Kalinin Valery Ivanovich, val.kalinin@mail.ru
References
1. Feher K. Wireless Digital Communications: Modulation and Spread Spectrum Applications. – NJ: Prentice Hall, 1995. – 554 p.
2. Kennedy M.P., Kolumban G., Kis G., Jako Z. Performance evaluation of FM-DCSK modulation in multipath environments // IEEE Trans. Circuits Syst. I. 2000, Vol. 47. No. 12, pp. 1673-1683. https://doi.org/10.1109/81.899922
3. Sobers T.V., Bash B.A., Guha S., Towsley D., Goeckel D. Covert Communication in the Presence of an Uninformed Jammer // IEEE Transactions on Wireless Communications. 2017, Vol. 16, No. 9, pp. 6193-6206. https://doi.org/10.1109/TWC.2017.2720736
4. Nazarov L.E., Zudilin A.S., Kaevitser V.I., Smolyaninov I.V. Algorithms for the Encoding and Reception of OFDM Signals Based on Manipulation with Minimum Frequency Shift // Journal of Communications Technology and Electronics. 2021, Vol. 66, No. 1, pp. 56–61. https://doi.org/10.1134/S106422692101006X
5. Ageykin N.A., Grachev V.I., Ryabenkov V.I., Kolesov V.V. Information Technologies Based on Noise-like Signals: I. Discrete Chaotic Algorithms // RENSIT: Radioelectronics. Nanosystems. Information Technologies. 2022, 14(1):47-64. https://doi.org/10.17725/rensit.2022.14.047
6. Nazarov L.E., Kutuza B.G., Batanov V.V. Estimation of Probabilistic Characteristics of Reception of Frequency-Effective Signals during Propagation along a Radio Line with Fog // J. Commun. Technol. Electron. 2023, Vol.68, No. 6, pp. 702–707. https://doi.org/10.1134/S1064226923060104
7. Kalinin V. I., Chapurskii V. V. Data Transmission on the Basis of Noise Signals with Spectral Modulation // J. Commun. Technol. Electron. 2015, Vol. 60, No. 10, pp. 1072-1082. https://doi.org/10.1134/S1064226915100046
8. Anpilogov V.R., Denisenkob V.V., Levitan B.A., Kozlov V.N., Shitikov A.M., Shishlov A.V. Reducing the Energy Consumption of the Transmitting Active Phased Antenna Array of a Low-Orbit Communications Satellite with a “Jumping” Beam // Journal of Communications Technology and Electronics. 2023. Vol. 68. N. 8. P. 733-741. https://doi.org/10.31857/S0033849423080016
9. Kalinin V.I. Ultra-Wideband Data Transmission with Double Spectral Processing of Noise Signals // Technical Physics Letters, 2005, Vol. 31, No. 11, pp. 929-931. https://doi.org/10.1134/1.2136955
10. Cuang J., Narayanan R.M. Performance of Non-Polarized Noise Modulated Communications System in the Presence of Interference // Wireless Personal Communications, August 2012, Vol. 65, Issue 4, pp.776-796. https://doi.org/10.1007/s11277-011-0295-6
11. Dmitriev A.S., Mokheni T.I., Petrosyan M.M. Experimental Implementation of Differentially Coherent Wireless communication Scheme Based on Chaotic radio Pulses // Technical Physics Letters, 2022, Vol. 48, No. 18, pp. 10–13.
https://doi.org/10.21883/PJTF.2022.18.53391.19312
12. Kalinin V.I. Wireless Communications Based on the Spectral Interference of Ultrawideband Noise Random Signals // Technical Physics Letters, 2018, Vol. 44, No. 12, pp. 1139–1141. https://doi.org/10.1134/S1063785018120465
13. Lipski M.V., Kompella S., Narayanan R. M. Practical Implementation of Adaptive Threshold Energy Detection using Software Defined Radio // IEEE Transactions on Aerospace and Electronic Systems, April 2021, Vol. 57, No. 2, pp.1227-1241. https://doi.org/10.1109/TAES.2020.3040059
14. Kalinin V.I. Statistical Analysis of Noise Communication System Using Two-Channel Correlation Receiver // Journal of Radio Electronics, 2018, No. 9, pp. 1-18. https://doi.org/10.30898/1684-1719.2018.9.5
15. Kalinin V.I., Radchenko D.E., Cherepenin V.A. Noise Performance of Digital Communication System Based on Continuously Noise Signals with Spectrum Modulation // Radioengineering, 2015, No.8, pp.84-94.
16. Kalinin V.I., Radchenko D.E., Cherepenin V.A. Jamming Reduction of Spread Spectrum Noise Communication System on the Basis of Spectrum Modulation // Journal Electromagnetic Waves and Electronic Systems, 2016, Vol. 21, No. 3, pp. 40-48.
17. Kiyono K., Tsujimoto Y. Nonlinear filtering properties of detrended fluctuation analysis // Physica A: Statistical Mechanics and its Applications. 2016. Vol. 462,
Pp. 807-815. https://doi.org/10.1016/j.physa.2016.06.129
18. Pavlova O.N., Pavlov A.N. Fluctuation Analysis of the Dynamics of Systems with Time-Varying Characteristics. // Technical Physics Letters, 2021. Vol. 47. No. 6. pp. 463–465. https://doi.org/10.1134/S1063785021050126
19. Bendat J.S., Piersol A.G. Engineering Applications of Correlation and Spectral Analysis. – New York: Wiley Interscience Publication, 1980. – 302 p.
20. Proakis J.G., Manolakis D. Digital Signal Processing. – Publisher Pearson, 2006. – 1104 p.
For citation:
Kalinin V.I., Byshevski-Konopko O.A. Fluctuations of correlation performances in digital noise communications. // Journal of Radio Electronics. – 2024. – №. 11. https://doi.org/10.30898/1684-1719.2024.11.6 (In Russian)