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Time-Varying Channel Equalization in Underwater Acoustic OFDM Communication System

机译:水下声学OFDM通信系统中的时变信道均衡

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In this paper, three time-varying channel equalization schemes are studied in the underwater acoustic (UWA) Orthogonal Frequency Division Multiplexing (OFDM) communication system. The equalization algorithms are the zero-forcing (ZF) equalization algorithm, and the minimum mean square error equalization (MMSE) algorithm and the serial interference cancellation (SIC) equalization algorithm. Among the schemes, there is a problem of needing a large amount of operation when obtaining the inversion of the channel matrix. Then, to reduce the computation complexity of channel matrix inversion, the band approximation of the channel matrix, the serial equalization and the LDL ~(H)decomposition are also studied. To evaluate the efficacy of the algorithms studied in this paper, numerical simulation and the field experiment are both conducted. The simulation results proof that each equalization algorithm can work appropriately under different time-varying conditions, and valid the reliability of each simplified algorithm under the same Doppler factor. The results of two sets of field experiment also prove that the simplified algorithm eliminates the influence of the residual narrow band Doppler to a certain extent, and a better effect is obtained while a channel estimation algorithm with higher accuracy is combined.
机译:在本文中,在水下声学(UWA)正交频分复用(OFDM)通信系统中研究了三个时变通道均衡方案。均衡算法是零强制(ZF)均衡算法,以及最小均方误差均衡(MMSE)算法和串行干扰消除(SIC)均衡算法。在这些方案中,存在在获得信道矩阵的反转时需要大量操作的问题。然后,还研究了降低信道矩阵反转的计算复杂度,还研究了信道矩阵的频带近似,串行均衡和LDL〜(h)分解。为了评估本文所研究的算法的功效,数值模拟和现场实验均进行。仿真结果证明,每个均衡算法可以在不同的时变条件下适当地工作,并在相同多普勒因子下有效地有效地获得每个简化算法的可靠性。两组现场实验的结果还证明了简化算法消除了残余窄带多普勒在一定程度上的影响,并且获得了更好的效果,同时组合具有更高精度的信道估计算法。

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