Research on Low Complexity Underwater Acoustic Multiple Input Multiple Output Orthogonal Time Frequency Space Modulation Communication Method
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摘要: 在多输入多输出正交时频空调制(MIMO-OTFS)水声通信系统中，基于消息传递(MP)算法的MIMO-OTFS通信的计算复杂度较高，在实际应用中会增加设备成本。针对上述问题，该文提出一种基于2维虚拟时间反转镜(VTRM)的MIMO-OTFS均衡算法，该算法利用VTRM的时频空聚焦特性，有效提高了均衡性能，并通过改进的2维比例归一化最小均方(IPNLMS)算法进行信道估计，该算法利用时延-多普勒域信道的稀疏特性以较低的复杂度提高了收敛速度，最后通过2维自适应判决反馈均衡算法消除残余的码间串扰，进一步提高系统性能。仿真结果表明，所提均衡算法具有可行性，且在保证相同性能时，复杂度低于MP算法。Abstract: In the Multiple Input Multiple Output Orthogonal Time Frequency Space (MIMO-OTFS) underwater acoustic communication system, MIMO-OTFS communication based on the Message Passing (MP) algorithm have problems with high computational complexity, which may increase equipment costs in practical applications. To solve this problem, an MIMO-OTFS equalization algorithm based on two-dimensional Virtual Time Reversal Mirror (VTRM) is proposed, which uses the time-frequency-space focusing characteristics of VTRM to effectively improve the equalization performance. The channel estimation is performed using the Improved two-dimensional Proportional Normalized Least Mean Square (IPNLMS) algorithm, which utilizes the sparse characteristics of the time-delay Doppler domain channel to improve convergence speed at a lower computational complexity. Finally, residual inter-symbol interference is eliminated and system performance is further improved through the use of the two-dimensional adaptive decision feedback equalization algorithm. The simulation results demonstrate the feasibility of the proposed equalization algorithm, and show that it has lower complexity than the MP algorithm while ensuring the same performance.
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表 1 仿真参数
仿真参数 符号 值 发射阵元数 $ {N_{\text{t}}} $ 2 接收阵元数 $ {N_{\text{r}}} $ 6 子载波数 M 512 符号数 N 128 最低子载波频率 $ {f_0} $ 12 kHz 信号带宽 B 4 kHz 子载波间隔 $ \Delta f $ 7.81 Hz OTFS符号周期 $ {T_{\text{s}}} $ 0.25 ms 循环前缀时长 ${T_{ \rm{CP} } }$ 32 ms OTFS帧时长 ${T_{ \rm{OTFS} } }$ 20.48 s 
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