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The study of spatial diversity and combination technology for phase-coherent underwater acoustic communication

机译:相干水声通信的空间分集与组合技术研究

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The UWA channel is characterized as a time-dispersive rapidly fading channel, which in addition exhibits Doppler instabilities. To eliminate inter-symbol interference caused by multipath propagation, spatial diversity equalization is the main technical means. This paper mainly uses the method of complex weighted coefficient to achieve high SNR signal and maximize array gain. This paper uses the passive-phase-conjugation (PPC) algorithm to calculate signal-to-noise ratio(SNR) and signal-to-interference ratio(SIR) with impulse response function and communication signal. This paper firstly calculates the signal-to-noise-plus-interference ratio (SNIR) and uses the Sigmoid function to optimize the weighted coefficients of each channel. Secondly, the optimized weighted coefficients need to be normalized. It implements space and time joint equalization. Thirdly, by introducing the second order phase locked loop, it can track signal phase change caused by UWA channel. Lastly, the paper adopts fractional-decision feedback diversity equalizer(FDFDE). It achieves diversity equalization by using different channel weighted coefficients. The simulation and lake trial data processing results show that, the optimized diversity receiving equalization algorithm can improve communication system's ability in tracking the change of underwater acoustic channel, offset the impact of multipath and noise, and improve the performance of communication system. The performance of the communication receiving system is better than that of the combination with equal gain. At the same time, the bit error rate (BER) reduces for 1.7%.
机译:UWA信道的特征是时间分散的快速衰落信道,此外还表现出多普勒不稳定性。为了消除由多径传播引起的符号间干扰,空间分集均衡是主要的技术手段。本文主要采用复数加权系数的方法来获得高信噪比信号并最大化阵列增益。本文采用无源相位共轭(PPC)算法,通过脉冲响应函数和通信信号,计算出信噪比(SNR)和信噪比(SIR)。本文首先计算信噪比(SNIR),然后使用Sigmoid函数优化每个通道的加权系数。其次,优化的加权系数需要归一化。它实现了时空联合均衡。第三,通过引入二阶锁相环,它可以跟踪由UWA信道引起的信号相位变化。最后,本文采用分数决定反馈分集均衡器(FDFDE)。它通过使用不同的信道加权系数来实现分集均衡。仿真和湖试数据处理结果表明,优化的分集接收均衡算法可以提高通信系统跟踪水声通道变化的能力,抵消多径和噪声的影响,提高通信系统的性能。通信接收系统的性能优于具有相同增益的组合的性能。同时,误码率(BER)降低了1.7%。

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