Parameterized Interference Cancellation for Single-Carrier Underwater Acoustic Communications
Parameterized Interference Cancellation for Single-Carrier Underwater Acoustic Communications
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DOI：
10.1109/ieeeconf38699.2020.9389172
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Wei Ge;Zhaohui Wang;Jingwei Yin;Xiao Han
中科院分区：
文献类型：
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作者：
Wei Ge;Zhaohui Wang;Jingwei Yin;Xiao Han
水下声学通信为远程和实时的水产勘探和监测提供了有前途的解决方案。然而，水下环境中存在着丰富的各种干扰。这些干扰会严重降低声学通信性能。这项工作解决了单载波调制通信系统中的干扰消除问题。基于奈奎斯特采样定理，通过有限数量的未知参数来参数化干扰。寻呼测试用于检测接收信号中干扰波形的存在。开发了迭代接收机，其迭代地执行干扰估计/消除和传统接收机处理。当通信波形受到冰破裂脉冲噪声和从北极收集的声纳信号的干扰时，评估所提出的接收机。数据处理结果表明，该接收机通过迭代干扰估计和消除，实现了相当大的解码性能的改善。
Underwater acoustic communications provide promising solutions for remote and real-time aquatic exploration and monitoring. However, the underwater environment is rich in various kinds of interferences. Those interferences could severely degrade the acoustic communication performance. This work tackles interference cancellation in a single-carrier modulated communication system. Based on the Nyqusit sampling theorem, the interference is parameterized by a finite number of unknown parameters. The Page test is applied to detect the presence of an interfering waveform in the received signal. An iterative receiver is developed, which iteratively performs the interference estimation/cancellation and traditional receiver processing. The proposed receiver is evaluated when the communication waveform is interfered by the ice-cracking impulsive noise and the sonar signal collected from the Arctic. The data processing results reveal that the proposed receiver achieves considerable decoding performance improvement through the iterative interference estimation and cancellation.