低信噪比下突发信号的检测方法

doi:10.3969/j.issn.1001-2400.2016.06.028

Abstract

Abstract:

A detection method for the burst signal based on the cepstrum of the power spectrum is proposed to solve the problem of the poor burst signal detection performance in the low SNR environment. First, the maximum value of the spectrum is used as the test statistic and is smoothed by the smooth window. Then, the K-mean clustering algorithm is used to classify the decision to distinguish the signal and the noise. Finally, the detection of the burst signal is completed by the three-state transition based on the length. Simulation results show that the proposed method has a better detection performance and lower computational complexity in low SNR environments.

Key words: burst signal, signal detection, cepstrum, K-mean clustering, tristate conversion

CHEN Dan;LIU Mingqian;ZHANG Yang;HU Ye. Detection method for the burst signal in a low SNR[J].Journal of Xidian University, 2016, 43(6): 164-169.

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Detection method for the burst signal in a low SNR

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