• 船舶與海洋工程學報:英文版 · 2020年第1期148-154,共7頁

    基于卡爾曼濾波的水聲信號線譜增強

    作者:張姣,李亞安,Wasiq Ali,劉戀

    摘要:To detect weak underwater acoustic signals radiated by submarines and other underwater equipment,an effective line spectrum enhancement algorithm based on Kalman filter and FFT processing is proposed.The proposed algorithm first determines the frequency components of the weak underwater signal and then filters the signal to enhance the line spectrum,thereby improving the signal-to-noise ratio(SNR).This paper discussed two cases:one is a simulated signal consisting of a dual-frequency sinusoidal periodic signal and Gaussian white noise,and the signal is received after passing through a Rayleigh fading channel;the other is a ship signal recorded from the South China Sea.The results show that the line spectrum of the underwater acoustic signal could be effectively enhanced in both cases,and the filtered waveform is smoother.The analysis of simulated signals and ship signal reflects the effectiveness of the proposed algorithm.

    發文機構:School of Marine Science and Technology

    關鍵詞:LinespectrumenhancementKalmanfilterSignaldetectionUnderwateracousticsignalFrequencyestimationLine spectrum enhancementKalman filterSignal detectionUnderwater acoustic signalFrequency estimation

    分類號: TN9[電子電信—信息與通信工程]

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