Blind adaptive multi-user detection for under-ice acoustic communications with mobile interfering users

Blind adaptive multi-user detection for under-ice acoustic communications with mobile interfering users
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与移动干扰用户进行冰下声学通信的盲自适应多用户检测

DOI:
10.1121/1.4974757
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发表时间:
2017
影响因子:
2.4
通讯作者:
Guo Qinghua
Guo Qinghua
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Yin Jingwei;Yang Guang;Huang Defeng;Jin Lu;Guo Qinghua

文献摘要

被引文献

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本文研究了冰下通信网络中存在上升和下降干扰用户时的最小均方盲自适应多用户检测算法、递归最小二乘盲自适应多用户检测算法和卡尔曼滤波盲自适应多用户检测算法。进行了渤海冰下随机异步多用户通信实验(7个用户,每用户15.7bit/s,冰下信道1.2km)。良好的实验结果验证了该算法在抑制码间干扰和多址干扰方面的可行性和有效性。(C)2017年美国声学学会
The Least Mean Squares Blind Adaptive Multi-user Detection algorithm, the Recursive Least Squares Blind Adaptive Multi-user Detection algorithm, and the Kalman Filter Blind Adaptive Multi-user Detection algorithm, for under-ice communication networks with rising and diving interfering users, are investigated in this paper. Under-ice random asynchronous multi-user communication experiments with rising and diving interfering users were carried out (7 users, 15.7 bit/s per user, 1.2 km under-ice acoustic channels in the Bohai Sea). Good experimental results verified the feasibility and effectiveness of the proposed algorithms in mitigating inter-symbol interference and multiple access interference. (C) 2017 Acoustical Society of America