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 sinuso... 

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【參考文獻】：
期刊論文
[1]基于Duffing振子檢測頻率未知微弱信號的新方法[J]. 李國正,張波.  儀器儀表學(xué)報. 2017(01)
[2]基于Hilbert變換及間歇混沌的水聲微弱信號檢測方法研究[J]. 陳志光,李亞安,陳曉.  物理學(xué)報. 2015(20)
[3]低頻線譜檢測ALE算法應(yīng)用[J]. 趙閃,陳新華,孫長瑜,余華兵.  科技導(dǎo)報. 2013(11)
[4]瑞利分布時變水聲信道仿真與實驗[J]. 鄧紅超,劉云濤,蔡惠智.  聲學(xué)技術(shù). 2009(02)
[5]用混沌振子和Kalman濾波檢測強分形噪聲中的弱信號[J]. 蘇理云,馬洪,唐世福.  四川大學(xué)學(xué)報(工程科學(xué)版). 2007(03)



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