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针对矿难发生后现有地下通信系统瘫痪的局面,一种基于刚性管道的声通信系统作为现有通信手段的补充而处于实验研究阶段,信息识别算法是该系统的核心。目前的算法仅仅依据信号的时域特征,无法在低信噪比下完成信息的恢复,因而使系统的应用受到了限制。针对此问题,这里提出一种改进的信息识别处理方法,充分利用信号的时频域特征,结合多重动态阈值以及浮动窗口去噪等噪声抑制手段,实现低信噪比下有效信息的识别。初步的管道实验结果证明了该方法的有效性和可行性,能够比传统的算法具有更好的抗噪声性能,具有较好的应用价值。
In view of the paralysis of the existing underground communication system after the occurrence of the mine accident, a rigid pipeline-based acoustic communication system is in the stage of experimental research as an addition to the existing communication means. The information recognition algorithm is the core of the system. The current algorithm only based on the time-domain characteristics of the signal, the signal can not be completed at low signal-to-noise ratio recovery, thus making the system has been limited. In order to solve this problem, an improved method of information recognition processing is proposed here, which takes full advantage of the signal’s time-frequency features and combined with multiple dynamic thresholds and noise suppression such as floating window denoising to achieve effective information recognition at low signal-to-noise ratio. The results of the preliminary pipeline experiment show that the proposed method is effective and feasible, and it has better anti-noise performance than the traditional algorithm and has good application value.