journal article·2018-09-20Open access

A Weighted Turbo Equalized Multi-Band Underwater Wireless Acoustic Communications

Hui-Su Lee, Chang-Uk Baek, Ji-Won Jung, Wan-Jin Kim

Applied Sciences· Volume 8· Issue 10

Abstract

The multi-band UWAS (Underwater Wireless Acoustic Sensor) communication techniques are effective in terms of performance and throughput efficiency because they can overcome selective frequency fading by allocating the same data to different frequency bands, in an environment of rapidly changing channel transfer characteristic. However, the multi-band configuration may have a performance worse than the single-band one because performance degradation in one particular band affects the output from all the other bands. This problem can be solved by using a receiving end that analyzes the error rates of each band, sets threshold values and allocates the lower weights to the inferior bands. There are many methods of setting threshold values. In this paper, we proposed an algorithm to set the threshold value by using the preamble error rates, which are known data that have to be transmitted and received. In addition, we have analyzed the efficiency of multi-band transmission scheme in the UWAS communication by applying 1~4 number of multi-bands, using turbo pi codes, with a coding rate of 1/3. We evaluated the performance of the proposed multi-bands transmission model in real underwater environments. Experimental results showed that the performance increased as the number of multiple bands increased. Furthermore, the performance of multi-band was improved when the proposed threshold algorithm was applied.
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Research context

OpenAlex topics: Underwater Vehicles and Communication Systems · Water Quality Monitoring Technologies · Indoor and Outdoor Localization Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Radio Communication Engineering, Korea Maritime and Ocean University, Busan 606-791, Korea

Agency for Defense Development, P.O. Box 18, Jinhae-gu, Changwon-si, Gyengsangnam-do 51678, Korea

References (23)

Show source-provided references
1. Dhanak, M.R., and Xiros, N.I. (2016). Acoustic Communication. Springer Handbook of Ocean Engineering, Springer International Publishing.10.1007/978-3-319-16649-0 ↗
2. Jiang, R., Cao, S., Xue, C., and Tang, L. (2017, January 22–25). Modeling and analyzing of underwater acoustic channels with curvilinear boundaries in Shallow Ocean. Proceedings of the 2017 IEEE International Conference on Signal Processing Communications and Computing (ICSPCC), Xiamen, China.10.1109/ICSPCC.2017.8242476 ↗
3. Underwater wireless communications and networks: Theory and application: Part 1 [Guest Editorial]10.1109/MCOM.2015.7321969 ↗
4. The state of the art in underwater acoustic telemetry10.1109/48.820733 ↗
5. Adaptive error-correction coding scheme for underwater acoustic communication networks10.1109/JOE.2013.2291635 ↗
6. He, Q., Wang, S., and Zhang, W. (2017, January 6–8). Low-complexity MMSE iterative equalization for multiband OFDM systems in underwater acoustic channels. Proceedings of the 2017 IEEE International Conference on Communication Software and Networks (ICCSN), Guangzhou, China.10.1109/ICCSN.2017.8230161 ↗
7. Multicarrier spread spectrum communication scheme for cruising sensor network in confined underwater space10.1155/2014/165749 ↗
8. Review Article: Multicarrier Communication for Underwater Acoustic Channel
9. Distributed compressed sensing based channel estimation for underwater acoustic multiband transmissions10.1121/1.5042362 ↗
10. A journey toward modeling and resolving doppler in underwater acoustic communications10.1109/MCOM.2016.7402260 ↗
11. Iterative channel estimation and turbo equalization for multiple-input multiple-output underwater acoustic communications10.1109/JOE.2015.2398731 ↗
12. Robust Underwater Telemetry with Adaptive Turbo Multiband Equalization10.1109/JOE.2009.2032997 ↗
13. Vasudevan, K. (2017). Digital Communications and Signal. Processing, Universities Press. [3rd ed.].
14. Turbo-principle-based decoding in LDPC and turbo codes
15. Turbo Code with Rate-m/(m+1) Constituent Convolutional Codes10.1109/TCOMM.2005.857165 ↗
16. Optimum mean-square decision feedback equalization10.1002/j.1538-7305.1973.tb02023.x ↗
17. He, C., Jing, L., Xi, R., Li, Q., and Zhang, Q. (2017). Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing. Sensors, 17.10.3390/s17040937 ↗
18. High throughput receiver structure for underwater communication10.1155/2015/481576 ↗
19. Turbo equalization for single-carrier underwater acoustic communications10.1109/MCOM.2015.7321975 ↗
20. Adaptive Modulation and Coding for Underwater Acoustic OFDM10.1109/JOE.2014.2323365 ↗
21. Baek, C.U., Jung, J.W., and Do, D.W. (2018). Study on the Structure of an Efficient Receiver for Covert Underwater Communication Using Direct Sequence Spread Spectrum. Appl. Sci., 8.10.3390/app8010058 ↗
22. Ayvaz, E.N., Meryem, M., and Ali, Ö. (2018, January 2–5). A fast start-up modified LMS algorithm. Proceedings of the 2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey.10.1109/SIU.2018.8404487 ↗
23. Djigan, V.I., Shakhtarin, B.I., Likhoedenko, K.P., and Zhurakovskiy, V.N. (October, January 27). Multichannel stabilized fast RLS algorithm for nonstationary signal processing. Proceedings of the 2017 IEEE East-West Design & Test Symposium (EWDTS), Novi Sad, Serbia.10.1109/EWDTS.2017.8110090 ↗