水下通信中turbo编码MIMO-OFDM系统的性能

I. Nelson, K. S. Vishvaksenan, V. Rajendran
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引用次数: 3

摘要

在本文中,我们考虑了多输入多输出(MIMO)辅助多载波(MC)调制系统在水下通信中声信号传输的性能。在水下通信中,声干扰和环境噪声是两个主要的信道障碍。在我们的工作中,我们考虑turbo码作为信道编码器,在接收端,我们采用迭代解码算法来减轻环境噪声和声干扰的影响。我们在发送端和接收端分别实现了FFT块和FFT块,实现了多载波调制。特别地,我们研究了编码MIMO-OFDM系统中浅水模式下的11次抽头延迟的影响。在接收端,我们实现了基于零强迫(ZF)算法的非线性检测器。仿真结果表明,采用ZF算法的MIMO-OFDM系统采用迭代译码算法可实现误码率和较低的信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of turbo coded MIMO-OFDM system for underwater communications
In this correspondence, we consider the performance of Multi-Input Multi-Output (MIMO) assisted multi-carrier (MC) modulated system for the transmission of the acoustic signal in underwater communications. In underwater communications, acoustic interference and ambient noise are the two major channel impairments. In our work, we consider turbo code as channel encoder and at the receiver, we employ iterative decoding algorithm to alleviate the effects of ambient noise and acoustic interference. We implement IFFT block at the transmitter and FFT block at the receiver to realize multi-carrier modulation. Particularly, we investigate the effects of eleven tap delay pertaining to shallow water model in the context of coded MIMO-OFDM system. At the receiver, we realize non-linear detector based on zero-forcing (ZF) algorithm. It is shown through simulation results that MIMO-OFDM system with ZF algorithm provides achievable bit error rate with less signal-to-noise ratio using iterative decoding algorithm..
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