Page 63 - 应用声学2019年第4期

第 38 卷 第 4 期 张友文等： 近程高速水声毫米波通信仿真与试验验证 523

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图 10 64QAM 水池试验数据处理结果
Fig. 10 Processing results of the 64QAM experimental data
[2] Heath R W, Gonzalez-Prelcic N, Rangan S, et al. An
4 结论 overview of signal processing techniques for millimeter
wave MIMO systems[J]. IEEE Journal of Selected Top-
针对水声时变双扩信道条件下的水声近程高 ics in Signal Processing, 2016, 10(3): 436–453.
速通信面临的问题，本文提出了一种高频谱利用率 [3] Vray D, Brusseau E, Detti V, et al. Ultrasound medical
imaging[M]. New Jersey: John Wiley & Sons, Inc., 2014.
的水声毫米波近程通信技术。研究采用了超奈奎斯
[4] Papadacci C, Pernot M, Couade M, et al. High-contrast
特发射技术以及高阶调制技术，采用这两项技术虽 ultrafast imaging of the heart[J]. IEEE Transactions on
然提高了通信系统的频带利用率，但是给接收设计 Ultrasonics, Ferroelectrics, and Frequency Control, 2014,
61(2): 288–301.
带来了极大的挑战，研究采用迭代的软反馈DFE技
[5] Riedl T, Singer A C. Towards a video-capable wireless
术来消除由于超奈奎斯特发射及多途信道引入的 underwater modem: Doppler tolerant broadband acous-
严重的符号间干扰，而针对高阶调制检测对信道估 tic communication[C]. 2014, Underwater Communications
计精度敏感的问题，研究采用了软输入RLS 迭代信 Networking, Sestri Levante, Italy, 2014.
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道估计技术。仿真实验分析以及水池信道试验数 communications through tissues at Mbps data rates[C].
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