LDPC卷积码在水声通信系统中的可靠性研究

doi:10.19665/j.issn1001-2400.2020.06.013

Abstract

Abstract:

In order to ensure the high reliability of signal transmission in the underwater acoustic channel, LDPC convolutional codes are used to study the improvement of the information reliability in the underwater acoustic channel in this paper. The gradient model combined with the multipath model is adopted to simulate the underwater acoustic channel, and the FBMC/OQAM underwater acoustic channel communication system is built according to the characteristics that FBMC can suppress inter symbol interference and OQAM can suppress adjacent carrier interference. The LDPC convolutional code is adopted as the channel encoding scheme for realizing the lossless transmission of multimedia audio and image signals in the underwater acoustic channel. The RC-LDPC convolutional code is also used to study the decoding performance of the FH underwater acoustic communication system. Simulation results show that LDPC convolutional codes have a good bit error rate (BER) performance in the underwater acoustic channel, achieve a low BER signal transmission, and can effectively overcome the multipath effect and improve channel utilization. Thus, the LDPC convolutional code can be selected as the channel coding scheme for underwater acoustic communication.

Key words: underwater acoustic channel, frequency modulation, LDPC convolutional code

CLC Number:

TN911.22

CAI Zihao,MU Liwei,ZHAN Li,LIU Qiang. Research on the reliability of LDPC convolutional codes in the underwater acoustic communication system[J].Journal of Xidian University, 2020, 47(6): 84-90.

Figures/Tables 8

References 16

[1]	SAEED N, CELIK A, AL-NAFFOURIT Y, et al. Underwater Optical Wireless Communications, Networking, and Localization: A Survey[J]. Ad Hoc Networks, 2019, 94:101935.
[2]	ZHANG Y, WANG A. Underwater Acoustic Channels Characterization for Underwater Cognitive Acoustic Networks[C]// Proceedings of the 2018 3rd International Conference on Intelligent Transportation, Big Data and Smart City. Piscataway: IEEE, 2018: 223-226.
[3]	GALLAGER R G. Low-Density Parity-Check Codes[D]. Cambridge: MIT Press, 1963.
[4]	FELSTROM A J, ZIGANGIROV K S. Time-varying Periodic Convolutional Codes with Low-Density Parity-Check Matrix[J]. IEEE Transactions on Information Theory, 1999, 45(6): 2181-2191. doi: 10.1109/18.782171
[5]	KUDEKAR S, RICHARDSON T J, URBANKE R L. Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC[J]. IEEE Transactions on Information Theory, 2011, 57(2): 803-834. doi: 10.1109/TIT.2010.2095072
[6]	TANNER R M, SRIDHARA D, SRIDHARAN A, et al. LDPC Block and Convolutional Codes Based on Circulant Matrices[J]. IEEE Transactions on Information Theory, 2004, 50(12): 2966-2984. doi: 10.1109/TIT.2004.838370
[7]	LENTMAIER M, SRIDHARAN A, COSTELLOJR D J, et al. Iterative Decoding Threshold Analysis for LDPC Convolutional Codes[J]. IEEE Transactions on Information Theory, 2010, 56(10): 5274-5289. doi: 10.1109/TIT.2010.2059490
[8]	BATTAGLIONI M, TASDIGHI A, BALDI M, et al. Compact QC-LDPC Block and SC-LDPC Convolutional Codes for Low-Latency Communications[C]// Proceedings of the 2018 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Piscataway: IEEE, 2018: 8580758.
[9]	MU L, HAN G, LIU Z. Construction of Rate-compatible (RC) Low-density Parity-check (LDPC) Convolutional Codes Based on RC-LDPC Block Codes[J]. Journal of Shanghai Jiaotong University (Science), 2016, 21(6): 679-683. doi: 10.1007/s12204-016-1781-5
[10]	NISSEL R, SCHWARZ S, RUPP M. Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(8): 1768-1782. doi: 10.1109/JSAC.2017.2710022
[11]	FARHANG-BOROUJENY B. OFDM Versus Filter Bank Multicarrier[J]. IEEE Signal Processing Magazine, 2011, 28(3): 92-112. doi: 10.1109/MSP.2011.940267
[12]	PEREZ-NEIRE A I, CAUS M, ZAKARIA R, et al. MIMO Signal Processing in Offset-QAM Based Filter Bank Multicarrier Systems[J]. IEEE Transactions on Signal Processing, 2016, 64(21): 5733-5762. doi: 10.1109/TSP.2016.2580535
[13]	YAZDANI M R, BANIHASHEMI A H. On Construction of Rate-compatible Low-density Parity-check Codes[J]. IEEE Communications Letters, 2004, 8(3): 159-161. doi: 10.1109/LCOMM.2004.825728
[14]	林梅英, 许肖梅, 陈友淦, 等. 码率兼容 QC-LDPC 码在水声通信中的应用[J]. 声学技术, 2014, 33(5): 460-463.
	LIN Meiying, XU Xiaomei, CHEN Yougan, et al. The Application of QC-LDPC Code in Underwater Acoustic Communication[J]. Technical Acoustics, 2014, 33(5): 460-463.
[15]	LIN C F, HUNG Y T, LU H W, et al. FBMC/LDPC-Based Underwater Transceiver Architecture for Voice and Image Transmission[J]. Journal of Marine Science and Technology, 2018, 26(3): 327-334.
[16]	MU L W, LIU X C, LIANG C L. Improved Construction of LDPC Convolutional Codes with Semi-random Parity-check Matrices[J]. Science China Information Sciences, 2014, 57(2): 1-10.

Research on the reliability of LDPC convolutional codes in the underwater acoustic communication system

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 16

Related Articles 9

Metrics

Comments

Recommended 10

[1]	JING Fulong,ZHANG Chunjie,SI Weijian,WANG Yu,JIAO Shuhong. Effective method for analysis of LFM signals in the CFCR domain [J]. Journal of Xidian University, 2019, 46(3): 102-108.
[2]	SU Xiaofan,XIAO Rui,ZHU Mingzhe. Method for IF estimation of multicomponent FM signals [J]. Journal of Xidian University, 2019, 46(1): 51-56.
[3]	LI Shengyuan;ZHANG Xintian;TANG Shiyang. MIMO radar waveform design via OFDM-LFM for a high speed target [J]. Journal of Xidian University, 2018, 45(3): 7-12.
[4]	XIE Linlin;WANG Yang;QIAO Shushan;HEI Yong. Feedback tuning algorithm for fast-locking all-digital phase-locked loops [J]. Journal of Xidian University, 2018, 45(3): 91-96.
[5]	GUO Junjie;WANG Xinghua;WANG Xing;SI Jianhua;ZHANG Wenxia. New smart noise jamming of radar signal frequency modulation [J]. J4, 2013, 40(4): 155-160.
[6]	ZHANG Shuyin;GUO Ying;QI Zisen;HUO Wenjun. Propagator method for multiple-parameter estimation of LFM signal for conformal array antenna [J]. J4, 2013, 40(4): 181-187.
[7]	LIU Gaogao;ZHANG Linrang;LIU Nan;LIU Xin;ZHANG Bo;CHEN Guangfeng. SAR imaging algorithm for hypersonic vehicles [J]. J4, 2012, 39(5): 72-78.
[8]	ZHU Yan;CUI Yan-peng;ZHAO Guo-qing. Sinusoidal weighted frequency modulation jamming technique against moving target detection radar [J]. J4, 2010, 37(2): 273-278.
[9]	MU Xue-lu;CHEN Jian-chun;ZHANG Hong-kuan. ARM detection technique based on the Wigner-Hough transform [J]. J4, 2005, 32(4): 616-618.