Research on target signal detection based on neural networks and wavelet decomposition

被引：0

作者：

Jiang, LP ^{[1
]}

Zhang, ZH ^{[1
]}

Gong, SG ^{[1
]}

Hu, WW ^{[1
]}

机构：

[1] Naval Univ Engn, Wuhan 430033, Peoples R China

来源：

WAVELET ANALYSIS AND ITS APPLICATIONS, AND ACTIVE MEDIA TECHNOLOGY, VOLS 1 AND 2 | 2004年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with feature extraction in combination of wavelet decomposition with neural networks, under the condition of low SNR. The signal is first decomposed by wavelet transform, and on the base, the decomposed coefficients are reconstructed to form a new time series, from which some energy parameters can be extracted by time-domain analysis. By means of BP network, it is possible to recognize whether target signal is involved or not in received signals. The effectiveness of the method is verified by a real target signal with additive simulated noise signal, especially under the condition of low SNR.

引用

页码：468 / 473

页数：6

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