Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2021. No. 8
Contents

Full text in Russian (pdf)

Russian page

 

DOI: https://doi.org/10.30898/1684-1719.2021.8.12

UDC: 621.396, 621.396

 

Correlation Estimation for Digital Communications Based on the Noise Chaotic Signals with Time Windows

 

V. I. Kalinin, O. A. Byshevski-Konopko

 

Kotel’nikov Institute of Radio-engineering and Electronics of RAS

Frayzino branch

 

The paper was received august 10, 2021

 

Abstract. Wireless noise communication system based on the transmitted reference technique (TRT) is proposed for a covert data transmission through additive white Gaussian noise (AGWN) channel. Noise waveforms with the time windows are formed for data transmission using (3.1–4.1) GHz band-pass filters with symmetrical finite impulse response (FIR). FIR filter design includes the specification of the rectangular frequency response and the selection of appropriate window functions, which satisfy pass-band and attenuation specifications. Spread spectrum noise communications apply the time diversity between the noise reference and informative noise carriers delayed at the time interval T = 6 ns exceeding the noise coherent time τc = 1 ns. The delayed noise carriers are multiplied by antipodal binary symbols bl = ±1 at the same rate to informative data stream. The delivered noise reference is transmitted through wireless channel simultaneously with delayed noise waveforms contained informative components. Spectrum modulation of transmitted waveforms is performed by means of linear superposition between the noise reference and informative noise carriers delayed at time interval T. Spectral power density of result noise signals is modulated by antipodal harmonic functions with the period in inverse proportion to relative time delay Т. The coherent convolution of continuous noise signals is produced by the correlation receiver during every informative symbol interval. The correlation time delay in the receiver channel corresponds to the diversity time delay Т of informative noise signals. The correlation estimation problem appears in the case of data transmitting on the base of continuous noise carriers. Correlation estimations are statistical evaluated for total noise signals propagating throw AGWN channel. Intersystem jamming is excited at the output of correlation receiver even if noise informative carriers are transmitted over a wireless channel without thermal noise. Autocorrelation receiver output is randomly deviated near the average value according to informative data rate. Window method is proposed for a digital compensation of random distortions in correlation estimations. It is shown, that utilizing continuously noise signals with the time windows permits to decrease randomly fluctuations of correlation estimations.

Key words: noise communications, spread spectrum, window method, spectrum modulation, correlation evaluation, estimation distortion.

 

References

 

1. Gulyaev Yu.V., Belyaev R.V., Kolesov V.V., Kislov V.Ya. Dynamic-Chaos Information Technologies for Data Transmission, Storage, and Protection: Review. Journal of Communications Technology and Electronics. 2003 V.48. №10. P.1063-1086. DOI: https://doi.org/10.17725/rensit.2018.10.279.

2. Feher K., Wireless Digital Communications: Modulation and Spread Spectrum Applications. Upper Saddle River, NJ, Prentice Hall, 1995.  519 p.

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. V.16. 9. P.6193-6206. DOI: http://doi.org/10.1109/TWC.2017.2720736.

4. Nazarov L.E., Shishkin P.V., A Noise Stability Study of the Algorithm of Optimal Symbol-by-Symbol Reception of Signals Corresponding to Parity Check Codes in Non-Binary Fields. Journal of Communications Technology and Electronics. 2019. Т.64. № 9. P.981-986. DOI: http://doi.org/10.1134/S1064226919080138.

5. Nazarova 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. V.66. №1. P.56–61. DOI: http://doi.org/10.1134/S106422692101006XL.

6. 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. 2021. V.57. 2. P.1227-1241. DOI: http://doi.org/10.1109/TAES.2020.3040059.

7. Kalinin V.I. Wireless Communications Based on the Spectral Interference of Ultrawideband Noise Random Signals. Technical Physics Letters. 2018. V.44. №12. P.1139–1141. DOI: http://doi.org/10.1134/S1063785018120465.

8. Kalinin V.I. Ultra-Wideband Data Transmission with Double Spectral Processing of Noise Signals. Technical Physics Letters. 2005. V.31. 11. P.929-931. DOI: http://doi.org/10.1134/1.2136955.

9. Dmitriev A.S., Mokhseni T.I., Teran K.M.S. Differentially Coherent Information Transmission Based on Chaotic Radio Pulses. Journal of Communications Technology and Electronics. 2018. Т.63. №10. P.1183-1190. DOI: http://doi.org/10.1134/S1064226918100078.

10. Kuzmin L.V., Grinevich A.V., Ushakov M.D. Experimental Investigation of Multipath Propagation of Chaotic Impulses over Wireless Channel. Technical Physics Letters. 2018. V.44. №16. P.48-56. DOI: http://doi.org/10.1134/S1063785018080242.

11. Leonov K.N., Potapov A.A., Ushakov P.A. Application of Invariant Properties of Chaotic Signals in the Synthesis of Noise-Immune Broadband Systems for Data Transmission. Journal of Communications Technology and Electronics. 2014. V.59. №12. P.1209-1229. DOI: http://doi.org/10.1134/S1064226914120110.

12. Kalinin V.I. Correlation estimation for digital communications using transmitted reference technique with wideband random noise waveforms. Journal of Radio Electronics. 2019. №4. DOI: http://doi.org/10.30898/1684-1719.2019.4.10.

13. Kolumban G., Kennedy M.P., Chua L.O. The role of synchronization in digital communications using chaos-Part III: Performance bounds for correlation receivers. IEEE Trans. Circuits Syst. I. 2000. V.47. 12. P.1673-1683.

14. Kalinin V.I. Statistical Analysis of Noise Communication System Using Two-Channel Correlation Receiver. Journal of Radio Electronics. 2018. 9. DOI http://doi.org/10.30898/1684-1719.2018.9.5.

15. Kalinin V.I., Chapurskii V.V. Data Transmission on the Basis of Noise Signals with Spectral Modulation. Journal of Communications Technology and Electronics. 2015. V.60. №10. P.1072-1082. DOI: http://doi.org/10.1134/S1064226915100046.

16. 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. 8. P.84-94.

17. Bystrov R.P., Kuzmichev V.E. Noise RLS with Edge Filters in the Processing Device of Signals. Journal Achievements of Modern Radioelectronics. 2015. 8. P.47-54.

18. 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. V.21. 3. P.40-48.

19. Mikhail E.I., Kalinin V.I., Narytnik T.N., Didkovski R.M. Potential Performance of the Communication Systems Using Autocorrelation Reception of Shift-Keyed Noise Signals. Telecommunications and Radio Engineering. 2014. V.73. 11. P.955-976.

20. Julius S.B., Allan G.P. Engineering Applications of Correlation and Spectral Analysis. New York, Wiley Interscience Publication. 1980. 312 p.

21. Proakis J., Manolakis D. Digital Signal Processing, Publisher Pearson (4th edition). New Jersey: Prentice Hall. 2006. 1104 p. ISBN-13: 978-0131873742.

 

For citation:

Kalinin V.I., Byshevski-Konopko O.A. Correlation estimation for digital communications based on the noise chaotic signals with time windows. Zhurnal Radioelektroniki [Journal of Radio Electronics]. 2021. No.8. https://doi.org/10.30898/1684-1719.2021.8.12 (In Russian)