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Research on submarine signal detection method based on Welch algorithm

机译:基于Welch算法的海底信号检测方法研究

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摘要

Based on the periodic graph method and Welch algorithm in classical power spectrum analysis, MATLAB is used as the simulation platform to simulate the submarine's commonly used modulation signals using the period graph method and the Welch algorithm. The results show that the Welch algorithm introduces the method of data segmentation overlap and windowing function, so it can achieve better variance performance and spectral resolution than the periodic graph method. At the same time, the 2FSK signals are simulated and analyzed by using different window functions and overlapping points. The results show that the Hamming window and Blackman window are more suitable for spectral estimation of signals, and the appropriate increase of overlapping points can improve the variance performance and resolution. The effectiveness of the proposed method under low SNR conditions is verified.
机译:基于经典功率谱分析中的周期图方法和Welch算法,将MATLAB用作仿真平台,使用周期图方法和Welch算法对潜艇常用的调制信号进行仿真。结果表明,Welch算法引入了数据分段重叠和加窗函数的方法,因此与周期图方法相比,它可以实现更好的方差性能和光谱分辨率。同时,使用不同的窗函数和重叠点对2FSK信号进行仿真和分析。结果表明,汉明窗和布莱克曼窗更适合信号的频谱估计,重叠点的适当增加可以改善方差性能和分辨率。验证了该方法在低信噪比条件下的有效性。

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