基于Speex和深度编码的移动水声语音通信

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  • (1.大连海事大学 信息科学技术学院,辽宁 大连 116026;2.青岛理工大学 信息与控制工程学院,山东 青岛 266525)
孙冬雪(1997 — ),女,硕士生,研究方向:水声通信。李森*(1973 — ),女,博士,教授,博士生导师,E-mail:listen@dlmu.edu.cn。梁俊燕(1999 — ),女,硕士生,研究方向:水声通信。杜洋(2000 — ),男,硕士生,研究方向:水声通信。秦正昌(1999 — ),男,硕士生,研究方向:水声通信

收稿日期: 2023-06-13

  修回日期: 2023-06-13

  录用日期: 2023-07-22

  网络出版日期: 2023-07-22

基金资助

国家自然科学基金资助项目(61771271);山东省自然科学基金面上项目(ZR2020MF010, ZR2020MF001)

Speex and deep-encoding-based moving underwater acoustic communications

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  • (1.Information Science and Technology College, Dalian Maritime University, Dalian 116026, China;2. Information and Control Engineering College, Qingdao University of Technology, Qingdao 266525, China)

Received date: 2023-06-13

  Revised date: 2023-06-13

  Accepted date: 2023-07-22

  Online published: 2023-07-22

摘要

为实现收发节点相对运动下的语音信息交互,提出一种基于Speex和深度编码的移动水声语音通信算法。针对水下信道带宽有限、语音传输低效以及数据丢失问题,采用Speex算法,对语音信息进行压缩,提升语音信息传输效率和质量。针对水声信道中时变多途干扰和相位跳变问题,采用深度编码策略,在比特级,采用低复杂度的卷积编码,对信息比特进行编码以获得冗余编码比特,用以对抗时变多途干扰;在符号级,采用基于相位差的编码,令两个相邻符号的相位差作为传输符号,从而消除相位跳跃的影响。Speex算法实现了8.53倍的压缩率,有效节省了信道带宽;深度编码有效解决了多途干扰和相位跳变问题,在相同信噪比下使误码率大大降低。在胶州湾使用实际水声通信机(Seatrix Modem)对本文算法在通信距离5.5 km、收发器之间相对运动速度0.5 m/s、通信带宽4 kHz进行试验,结果表明了本文算法的有效性。

本文引用格式

孙冬雪, 李森, 梁俊燕, 杜洋, 秦正昌 . 基于Speex和深度编码的移动水声语音通信[J]. 大连海事大学学报, 2023 , 49(4) : 141 -150 . DOI: 10.16411/j.cnki.issn1006-7736.2023.04.016

Abstract

In order to realize the voice information interaction under the relative motion of the transmitting and receiving nodes, a mobile underwater acoustic voice communication algorithm based on Speex and depth-coding was proposed. Aiming at the problems of limited underwater channel bandwidth, inefficient voice transmission and loss of language information, the Speex algorithm was used to compress the voice information,  improve the transmission efficiency and quality of voice information. For the problems of time-varying multi-channel interference and phase jump in the underwater acoustic channel,by using the deep coding strategy, the low-complexity convolutional coding was used at the bit level to encode information bits and obtain redundant coded bits, to against time-varying multi-path interference. At the symbol level, phase difference-based coding was used to make two phase difference of adjacent symbols as the transmission symbol to eliminating the influence of phase jump. The Speex algorithm achieved a compression rate of 8.53 times, which effectively saved channel bandwidth. Deep-coding effectively solved the problems of multi-path interference and phase jump, and the bit error rate was greatly reduced under the same signal-to-noise ratio. The algorithm was validated by using underwater acoustic communication device (Seatrix Modem)in Jiaozhou Bay under conditions of a communication distance of 5.5 km, a relative motion speed of 0.5 m/s between transceivers,and a communication bandwidth of 4 kHz. The results show the effectiveness of theproposed  algorithm.

参考文献

[1]王毅凡,周密,宋志慧.水下无线通信技术发展研究[J].通信技术,2014,47(6):589-594.
WANG Y F, ZHOU M, SONG Z H. Development of underwater wireless communication technology[J]. Communications Technology,2014,47(6):589-594.(in Chinese)
[2]O'SHAUGHNESSY D. Linear predictive coding[J]. IEEE potentials,1988,7(1):29-32. 
[3]SCHROEDER M, ATAL B. Code-excited linear prediction (CELP): High-quality speech at very low bit rates[C]//ICASSP'85. IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1985, 10: 937-940.
[4]ATAL B S. The history of linear prediction[J]. IEEE Signal Processing Magazine, 2006, 23(2): 154-161. 
[5]SUPPLEE L M, COHN R P, COLLURA J S, Et al. MELP: the new federal standard at 2400 bps[C]//1997 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1997, 2: 1591-1594.
[6]WANG T, KOISHIDA K, CUPERMAN V, et al. A 1200/2400 bps coding suite based on MELP[C]//Speech Coding, 2002, IEEE Workshop Proceedings. IEEE, 2002: 90-92. 
[7]KIM H Y, YOON J W, CHO W I, et al. Neurally optimized decoder for low bitrate speech codec[J]. IEEE Signal Processing Letters, 2021, 29: 244-248. 
[8]AZAD A, MILI L. Robust Speech Filter and Voice Encoder Parameter Estimation Using the Phase–Phase Correlator[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019, 28: 592-604. 
[9]CHITHRA K, RAJAPAN D, RAMADASS G A. Underwater voice communication[C]//2021 International Symposium on Ocean Technology (SYMPOL). IEEE, 2021: 1-2.
[10]VALIN J M. Speex: A free codec for free speech[J]. arXiv preprint arXiv:1602.08668, 2016. 
[11]VALIN J M. The speex codec manual version 1.2 beta 3[J]. Xiph. org Foundation, 2007.
[12]LIAN Z, ZHENG Y, GONG X, et al. Design of Communication System of Underwater Hybrid Voice Communication System[C]//2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2021: 325-329. 
[13]SINGER A C, NELSON J K, KOZAT S S. Signal processing for underwater acoustic communications[J]. IEEE Communications Magazine, 2009, 47(1): 90-96. 
[14]TAO J. DFT-precoded MIMO OFDM underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 2017, 43(3): 805-819. 
[15]KOCHAŃSKA I, SCHMIDT J H, MARSZAL J. Shallow water experiment of OFDM underwater acoustic communications[J]. Archives of Acoustics, 2020, 45(1): 11-18. 
[16]QASEM Z A H, WANG J, KUAI X, et al. Enabling unique word OFDM for underwater acoustic communication[J]. IEEE Wireless Communications Letters, 2021, 10(9): 1886-1889. 
[17]GUO Z, LIU Q, ZHANG W, et al. Low complexity implementation of universal filtered multi-carrier transmitter[J]. IEEE Access, 2020, 8: 24799-24807. 
[18]BESCELI B, GÜÇLÜ M M, POLAT E, et al. A Comparative Study of SC and MC Underwater Acoustic Communication Systems[J]. Computer Science (Special): 27-34. 
[19]QASEM Z A H, LEFTAH H A, SUN H, et al. X-transform time-domain synchronous IM-OFDM-SS for underwater acoustic communication[J]. IEEE Systems Journal, 2021, 16(2): 1984-1995. 
[20]SONG X, LIU B, ZHANG H, et al. Security-enhanced OFDM-PON with two-level coordinated encryption strategy at the bit-level and symbol-level[J]. Optics Express, 2020, 28(23): 35061-35073. 
[21]MUTTI C, DAHLHAUS D, HUNZIKER T. Optimal power loading for multiple-input single-output OFDM systems with bit-level interleaving[J]. IEEE Transactions on Wireless Communications, 2006, 5(7): 1886-1895. 
[22]TASADDUQ I A, MURAD M, OTERO P. CPM-OFDM performance over underwater acoustic channels[J]. Journal of Marine Science and Engineering, 2021, 9(10): 1104. 
[23]STOJANOVIC M, PREISIG J. Underwater acoustic communication channels: Propagation models and statistical characterization[J]. IEEE communications magazine, 2009, 47(1): 84-89. 
[24]HUANG J, DIAMANT R. ADAptive modulation for long-range underwater acoustic communication[J]. IEEE Transactions on Wireless Communications, 2020, 19(10): 6844-6857. 


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