Iterative receiver for the triple differential PSK modulation in the time-varying underwater acoustic communications

被引:4
作者
Cui, Hongyu [1 ,2 ]
Liu, Changxin [1 ,2 ]
Si, Boyu [3 ]
Wu, Jie [1 ,2 ]
Sun, Dajun [1 ,2 ]
机构
[1] Harbin Engn Univ, Acoust Sci & Techol Lab, Harbin 150001, Peoples R China
[2] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Peoples R China
[3] Shanghai Univ Med & Hlth Sci, Coll Med Instrument, Shanghai 201318, Peoples R China
基金
中国国家自然科学基金;
关键词
iterative decoding; differential phase shift keying; transceivers; underwater acoustic communication; spread spectrum communication; interleaved codes; modulation coding; signal detection; demodulation; wireless channels; time-varying channels; phase noise; convolutional codes; channel coding; iterative receiver; triple differential PSK modulation; time-varying underwater acoustic communications; time-varying property; underwater acoustic channel; Doppler spread; direct-sequence spread-spectrum communications; relative velocity variation; transmitter; phase rotation; magnitude loss; DSSS packet; novel transceiver design; UWA DSSS communications; signal-to-noise ratio loss; iterative decoding algorithm; SNR loss; channel variation; local reference signal; performance gain; UWA channel; receiver; triple differential phase shift keying modulation; D3PSK modulation; improved bit-interleaved coded modulation; D3PSK demodulator; convolutional decoder; linear prediction; adaptive selection; correlation loss recovery; performance loss mitigation; motion acceleration; LINEAR PREDICTION; TURBO DPSK; MPSK; PERFORMANCE; SINGLE;
D O I
10.1049/iet-com.2020.0513
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Due to the time-varying property of the underwater acoustic (UWA) channel, the significant Doppler spread will severely degrade the performance of direct-sequence spread-spectrum (DSSS) communications. The relative velocity variation between the transmitter and the receiver will cause both the phase rotation and the magnitude loss of correlation peak, during the long transmission of the DSSS packet. To solve this problem, the authors propose a novel transceiver design for the UWA DSSS communications. At the transmitter, the triple differential phase shift keying (D3PSK) modulation is adopted to overcome the phase rotation, whereas the phase noise will be amplified resulting in the signal-to-noise ratio (SNR) loss. At the receiver, the improved bit-interleaved coded modulation with iterative decoding algorithm for D3PSK is used to recover the SNR loss, in which the D3PSK demodulator is treated as the convolutional decoder, and the linear prediction is adopted to track the channel variation. Furthermore, an adaptive selection of local reference signal is also applied to recover the correlation loss. Theoretical simulation shows that the proposed transceiver can effectively mitigate the performance loss caused by the motion acceleration, and the performance gain is significant over the conventional.
引用
收藏
页码:2813 / 2819
页数:7
相关论文
共 50 条
[31]   Decision feedback equalization algorithm based on sparse and time-varying underwater acoustic channel [J].
Zhang D. ;
Xiao S. ;
Zhang Y. ;
Cui H. .
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2019, 40 (05) :892-898
[32]   Progressive MIMO-OFDM Reception over Time-varying Underwater Acoustic Channels [J].
Huang, Jianzhong ;
Zhou, Shengli ;
Huang, Jie ;
Preisig, James ;
Freitag, Lee ;
Willett, Peter .
2010 CONFERENCE RECORD OF THE FORTY FOURTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), 2010, :1324-1329
[33]   Coherent Phase Shift Keying (PSK) Modulation Using Low-Power Micro-controllers for Underwater Acoustic Communications [J].
Soulias, Alexis ;
Xue, Yukang ;
Zheng, Y. Rosa .
2022 OCEANS HAMPTON ROADS, 2022,
[34]   Partial FFT Demodulation for MIMO-OFDM Over Time-Varying Underwater Acoustic Channels [J].
Han, Jing ;
Zhang, Lingling ;
Leus, Geert .
IEEE SIGNAL PROCESSING LETTERS, 2016, 23 (02) :282-286
[35]   Time-Varying Channel and Intrablock Carrier Frequency Offset Estimation for OFDM Underwater Acoustic Communication [J].
Wang, Haijun ;
Jiang, Weihua ;
Hu, Qing ;
Zeng, Zhiyong ;
Li, Zhuoming .
IEEE SENSORS JOURNAL, 2024, 24 (11) :18405-18417
[36]   Time-Varying Underwater Acoustic Channel Based Physical Layer Secret Key Generation Scheme [J].
Xu M. ;
Fan Y. ;
Jiang C. .
Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2019, 56 (12) :2660-2670
[37]   Reinforcement Learning-Based Underwater Acoustic Channel Tracking for Correlated Time-Varying Channels [J].
Wang, Yuhang ;
Li, Wei ;
Huang, Qihang .
OCEANS 2021: SAN DIEGO - PORTO, 2021,
[38]   Feedback strategies for iterative channel estimation in OFDM underwater acoustic communications [J].
朱安福 ;
Li Xue .
High Technology Letters, 2018, 24 (04) :396-401
[39]   A Novel Spatial CCK Modulation Design for Underwater Acoustic Communications [J].
Jing, Lianyou ;
Wang, Han ;
He, Chengbing ;
Ding, Zhi .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (06) :6192-6196
[40]   Adaptive Modulation for Underwater Acoustic Communications Based on Reinforcement Learning [J].
Fu, Qiang ;
Song, Aijun .
OCEANS 2018 MTS/IEEE CHARLESTON, 2018,