Research on Anti-Single-Frequency Interference Ability of Underwater Acoustic DSSS Communication System with Short-Period PN Sequences
Source abstract
Abstract
To address the inability to quantitatively analyze the performance of the direct sequence spread spectrum (DSSS) communication system in the presence of short-period pseudo-noise (PN) sequences, this study derives the interference components resulting from correlation processing of single-frequency interference. Given the short period of the spread spectrum sequence used in underwater acoustic systems, a theoretical expression is proposed for analyzing the anti-single-frequency interference performance of DSSS communication systems in underwater acoustics. This expression combines the interference power output by the system to enable quantitative analysis. Simulations are conducted to validate the accuracy of the theoretical expression. The results reveal that the interference sequence generated by correlation processing assumes either a direct current (DC) or sinusoidal distribution. The bit error rate (BER) of the system is influenced by signal-to-interference ratio (SIR), interference frequency offset, phase deviation, and the structure of the spreading code itself. The BER exhibits regular variation with changes in the interference phase. In all working conditions where the interference frequency offset is an integer multiple of the bit bandwidth, single-frequency interference with a frequency offset equivalent to the bit bandwidth has the greatest impact on the system. The concise theoretical expression presented in this study has significant practical value as it allows for quick prediction of variation in the anti-single-frequency interference performance of underwater acoustic DSSS communication systems using short-period PN sequences.
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Research context
OpenAlex topics: Underwater Vehicles and Communication Systems · Underwater Acoustics Research · Energy Efficient Wireless Sensor Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Third Department, Naval Submarine Academy, Qingdao 266000, China
Funding
National Natural Science Foundation of China
References (24)
Show source-provided references
1. Performance limitations in underwater acoustic telemetry10.1109/48.107149 ↗
2. Spread-Spectrum Method Using Multiple Sequences for Underwater Acoustic Communications10.1109/JOE.2017.2750298 ↗
3. Ra, H., Youn, C., and Kim, K. (2022). High-Reliability Underwater Acoustic Communication Using an M-ary Cyclic Spread Spectrum. Electronics, 11.10.3390/electronics11111698 ↗
4. Zhou, F., Liu, B., Nie, D., Yang, G., Zhang, W., and Ma, D. (2019). Mary Cyclic Shift Keying Spread Spectrum Underwater Acoustic Communications Based on Virtual Time-Reversal Mirror. Sensors, 19.10.3390/s19163577 ↗
5. Peterson, R.L., Borth, D.E., and Ziemer, R.E. (1995). An Introduction to Spread-Spectrum Communications, Prentice-Hall, Inc.
6. Poisel, R.A. (2011). Modern Communications Jamming Principles and Techniques, Artech House, Inc.
7. Hongling, L., Bin, P., Yunfei, H., and Qidi, Y. (2010, January 17–19). Performance of the direct sequence spread spectrum system with single-tone jamming. Proceedings of the 2010 IEEE International Conference on Information Theory and Information Security, Beijing, China.10.1109/ICITIS.2010.5689564 ↗
8. Tian, R., and Chi, Y. (2014). Spread Spectrum Communication, Tsinghua University Press. [2nd ed.].
9. Ma, L., Fan, C., Sun, W., and Qiao, G. (2018, January 25–27). Comparison of Jamming Methods for Underwater Acoustic DSSS Communication Systems. Proceedings of the 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi’an, China.10.1109/IMCEC.2018.8469430 ↗
10. Performance analysis of DSSS system under Mono and partial band interference
11. Anti-jamming Performance Analysis of Disturbance Signals of Different Interference Patterns by DSSS Technology
12. Lakshmi, M.L.S.N.S., Anudeepsagar, K. (2014, January 13–14). Analysis of DSSS performance under communication-jamming environment. Proceedings of the 2014 International Conference on Electronics and Communication Systems (ICECS), Coimbatore, India.10.1109/ECS.2014.6892570 ↗
13. Optimization of the Processing Gain of and M-ary Direct Sequence Spread Spectrum Communication System10.1109/TCOM.1980.1094782 ↗
14. Dynamic Spectrum Anti-Jamming Communications: Challenges and Opportunities10.1109/MCOM.001.1900530 ↗
15. Performance analysis of the periodic sequence DSSS system against CW interference10.1007/s11460-008-0004-8 ↗
16. Performance analysis of the periodic sequence DSSS system against CW interference
17. Rajesh, M.N., Shrisha, B.K., Rao, N., and Kumaraswamy, H.V. (2016, January 20–21). An analysis of BER comparison of various digital modulation schemes used for adaptive modulation. Proceedings of the 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, India.10.1109/RTEICT.2016.7807820 ↗
18. Performance of direct-sequence systems with long pseudonoise sequences10.1109/49.136072 ↗
19. Performance of a Direct Sequence Spread-Spectrum System with Long Period and Short Period Code Sequences10.1109/TCOM.1983.1095821 ↗
20. Li, K.H., and Milstein, L.B. (1989, January 11–14). Optimizing the processing gain for coded DS spread spectrum. Proceedings of the IEEE International Conference on Communications, World Prosperity Through Communications, Boston, MA, USA.
21. Research on Anti-interference Ability of Direct Sequence Spread Spectrum System
22. Etter, P.C. (2003). Underwater Acoustic Modeling and Simulation, Spon Press (Tay & Francis Group).10.4324/9780203417652 ↗
23. Radziejewski, I.R. (1990). An Investigation of the Underwater Acoustic Communications Channel, Simon Fraser University (SFU).
24. Urick, R.J. (1983). Principles of Underwater Sound, 3rd ed, McGraw-Hill.