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Impulsive noise suppression in per-survivor processing based DSSS systems

机译:基于每个幸存者处理的DSSS系统中的脉冲噪声抑制

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Impulsive noise exists in many underwater acoustic communication environments, while traditional receivers often model it as an additive white Gaussian noise (AWGN). In a previous work, we proposed per-survivor processing (PSP) based receivers for direct sequence spread spectrum (DSSS) systems. In this work, we investigate two algorithms, passband and baseband clipping, for impulsive noise mitigation in PSP based DSSS systems. Simulation results show that both the passband and baseband clipping approaches can get better performance than the conventional receiver without clipping. Based on noise data collected from a sea test, the semi-experimental results show that both approaches can yield more than 1 dB gain if clipping ratios are properly selected, and that the passband clipping approach slightly outperforms the baseband clipping approach.
机译:脉冲噪声存在于许多水下声通信环境中,而传统的接收器通常将其建模为加性高斯白噪声(AWGN)。在先前的工作中,我们为直接序列扩频(DSSS)系统提出了基于每个幸存者处理(PSP)的接收器。在这项工作中,我们研究了基于PSP的DSSS系统中的脉冲噪声缓解的两种算法,通带和基带削波。仿真结果表明,通带和基带削波方法均比不带削波的常规接收器具有更好的性能。根据从海试中收集到的噪声数据,半实验结果表明,如果适当选择削波比,则两种方法均可产生超过1 dB的增益,并且通带削波方法略胜于基带削波方法。

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