journal article·2018-01-01Open access

A Novel Approach for the Estimation of Doubly Spread Acoustic Channels Based on Wavelet Transform

Xing Zhang, Kang Song, Chunguo Li, Luxi Yang

Applied Sciences· Volume 8· Issue 1

Abstract

In this paper, the estimation of doubly spread underwater acoustic (UWA) channels is investigated. The UWA channels are characterized by severe delay spread and significant Doppler effects, and can be well modeled as a multi-scale multi-lag (MSML) channel. Furthermore, exploiting the sparsity of UWA channels, MSML channel estimation can be transformed into the estimation of parameter sets (amplitude, Doppler scale factor, time delay). Based on this, the orthogonal matching pursuit (OMP) algorithm has been widely used. However, the estimation accuracy of OMP depends on the size of the dictionary, which is related with both delay spread and Doppler spread. Thus it requires high computational complexity. This paper proposes a new method, called wavelet transform (WT) based algorithm, for the UWA channel estimation. Different from OMP algorithm which needs to search in both time domain and Doppler domain, WT-based algorithm only needs to search in time domain by using the Doppler invariant characteristic of hyperbolic frequency modulation (HFM) signal. The performance of the proposed algorithm is evaluated by computer simulations based on BELLHOP. The simulation results show that WT-based algorithm performs slightly better than OMP algorithm in low signal to noise ratio (SNR) while can greatly reduce computational complexity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Underwater Vehicles and Communication Systems · Underwater Acoustics Research · Radar Systems and Signal Processing

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

Affiliations

School of Information Science and Engineering, Southeast University, Nanjing 210096, China

School of Electronic and Information Engineering, Qingdao University, Qingdao 266071, China

School of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China

Funding

National Basic Research Program of China~(973) · National Natural Science Foundation of China · National High Technology Research and Development Program of China (863) · Fundamental Research Funds for the Central Universities and the Open Research Fund of Key Lab of Broadband Wireless Communications and Sensor Network Technologies (NJUPT), Ministry of Education · Funding of Supporting Excellent Young Professors for Teaching and Research in Southeast~University · Shandong Provincial Natural Science Foundation, China

References (23)

Show source-provided references
1. Challenges for efficient communication in underwater acoustic sensor networks10.1145/1121776.1121779 ↗
2. Detection, Synchronization, and Doppler Scale Estimation with Multicarrier Waveforms in Underwater Acoustic Communication10.1109/JSAC.2008.081204 ↗
3. Signal processing for underwater acoustic communications10.1109/MCOM.2009.4752683 ↗
4. A journey toward modeling and resolving doppler in underwater acoustic communications10.1109/MCOM.2016.7402260 ↗
5. Single-Carrier Frequency-Domain Turbo Equalization With Various Soft Interference Cancellation Schemes for MIMO Systems10.1109/TCOMM.2015.2459054 ↗
6. Mason, S.F., Berger, C.R., Zhou, S., and Ball, K.R. (2009, January 11–14). Receiver comparisons on an OFDM design for Doppler spread channels. Proceedings of the 2009 OCEANS Europe Conference, Bremen, Germany.10.1109/OCEANSE.2009.5278224 ↗
7. Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing10.1109/TSP.2009.2038424 ↗
8. Multi-Rate Block Transmission Over Wideband Multi-Scale Multi-Lag Channels10.1109/TSP.2012.2230169 ↗
9. Using Resampling to Combat Doppler Scaling in UWA Channels with Single-Carrier Modulation and Frequency-Domain Equalization10.1109/TVT.2015.2409560 ↗
10. Sparse channel estimation via matching pursuit with application to equalization10.1109/26.990897 ↗
11. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit10.1109/TIT.2007.909108 ↗
12. Do, T.T., Lu, G., Nguyen, N., and Tran, T.D. (2009, January 26–29). Sparsity adaptive matching pursuit algorithm for practical compressed sensing. Proceedings of the 2008 Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.10.1109/ACSSC.2008.5074472 ↗
13. Zhang, Y., Venkatesan, R., Dobre, O.A., and Li, C. (2015, January 9–12). An adaptive matching pursuit algorithm for sparse channel estimation. Proceedings of the 2015 IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, LA, USA.
14. A Two-Stage Approach for the Estimation of Doubly Spread Acoustic Channels10.1109/JOE.2014.2307194 ↗
15. Block-FFT Based OMP for Compressed Channel Estimation in Underwater Acoustic Communications10.1109/LCOMM.2015.2427806 ↗
16. Zhang, L., Xu, X., Feng, W., and Chen, Y. (2013, January 14–19). HFM spread spectrum modulation scheme in shallow water acoustic channels. Proceedings of the 2013 MTS/IEEE OCEANS Conference, Hampton Roads, VA, USA.
17. Yang, J., and Sarkar, T.K. (2007, January 17–20). A New Doppler-Tolerant Polyphase Pulse Compression Codes Based on Hyperbolic Frequency Modulation. Proceedings of the 2007 IEEE Radar Conference, Boston, MA, USA.10.1109/RADAR.2007.374225 ↗
18. Ai, J., Wang, Z., Zhou, X., and Ou, C. (2017, January 13–15). Improved wavelet transform for noise reduction in power analysis attacks. Proceedings of the 2017 IEEE International Conference on Signal and Image Processing, Beijing, China.10.1109/SIPROCESS.2016.7888333 ↗
19. Yang, C., and Liang, H. (2009, January 25–27). Time-scale analysis of wideband HFM signal and application on moving target detection. Proceedings of the ICIEA 2009 IEEE Conference on Industrial Electronics and Applications, Xi’an, China.
20. Burhan, N., Kasno, M., and Ghazali, R. (2017, January 22–22). Feature extraction of surface electromyography (sEMG) and signal processing technique in wavelet transform: A review. Proceedings of the IEEE International Conference on Automatic Control and Intelligent Systems, Selangor, Malaysia.10.1109/I2CACIS.2016.7885304 ↗
21. Young, R.K. (1996). Wavelet Theory and Its Applications, Springer.
22. Agrawal, S., and Dhend, M.H. (2017, January 9–10). Wavelet transform based voltage quality improvement in smart grid. Proceedings of the International Conference on Automatic Control and Dynamic Optimization Techniques, Pune, India.10.1109/ICACDOT.2016.7877596 ↗
23. Gul, S., Zaidi, S.S.H., Khan, R., and Wala, A.B. (2017, January 10–14). Underwater acoustic channel modeling using BELLHOP ray tracing method. Proceedings of the International Bhurban Conference on Applied Sciences and Technology, Islamabad, Pakistan.10.1109/IBCAST.2017.7868122 ↗