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Application of frequency estimation algorithm based on a single vector sensor in underwater acoustic communication

机译:基于单矢量传感器的频率估计算法在水下声通信中的应用

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摘要

A method of high resolution frequency estimation based on a single vector sensor using ESPRIT (Estimating Signal Parameters via Rotational Invariance Techniques) algorithm is proposed and applied to the underwater acoustic (UWA) communication system of frequency modulation. Higher resolution frequency estimation can be obtained by this algorithm using fewer snapshots comparing with the sound intensity frequency estimation. Results of simulation and lake experiment show that the proposed algorithm can improve the communication data rate and reduce the bandwidth of the system. Because higher signal-to-noise ratio (SNR) is demanded, this algorithm can 'be used in high speed short range UWA communication at present.
机译:提出了一种基于单矢量传感器的高分辨率频率估计方法,该方法采用ESPRIT算法通过旋转不变技术估计信号参数,并将其应用于调频的水下声通信系统中。与声音强度频率估计相比,此算法可以使用较少的快照来获得更高分辨率的频率估计。仿真结果和湖上实验表明,该算法可以提高通信数据速率,减少系统带宽。由于需要更高的信噪比(SNR),因此该算法目前可以​​'用于高速短程UWA通信中。

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