Forward and Backward Prediction Model Based Signal Detection in Sea Bottom Reverberation

JIANG Ke-yu, CAI Zhi-ming, LU Zhen-bo

ACTA ELECTRONICA SINICA ›› 2007, Vol. 35 ›› Issue (9) : 1766-1769.

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ACTA ELECTRONICA SINICA ›› 2007, Vol. 35 ›› Issue (9) : 1766-1769.

Forward and Backward Prediction Model Based Signal Detection in Sea Bottom Reverberation

  • JIANG Ke-yu, CAI Zhi-ming, LU Zhen-bo
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Abstract

A forward and backward prediction model with higher accuracy based on radial basis functions(RBF) neural networks was proposed and used to model sea bottom reverberation.The one-step prediction error of the prediction models was used as the statistics for weak echoes detection.The results for envelopes of single-frequency reverberation in lake-trails show that,the defined prediction error of the forward and backward prediction model for that is about 10 lower than that of the forward prediction model,and the prediction error of both prediction models can be used as statistics for the detection of weak echoes in reverberation.

Key words

reverberation / RBF neural network / signal detection

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JIANG Ke-yu, CAI Zhi-ming, LU Zhen-bo. Forward and Backward Prediction Model Based Signal Detection in Sea Bottom Reverberation[J]. Acta Electronica Sinica, 2007, 35(9): 1766-1769.
PDF(170 KB)

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