通信学报 ›› 2015, Vol. 36 ›› Issue (Z1): 215-223.doi: 10.11959/j.issn.1000-436x.2015302

• 学术论文 • 上一篇    下一篇

基于稀疏表达的微弱信号提取及检测方法

汤雅妃,张云勇,郭志斌   

  1. 中国联通研究院,北京 100032
  • 出版日期:2015-11-25 发布日期:2015-12-29

Approach to weak signal extraction and detection via sparse representation

Ya-fei TANG,Yun-yong ZHANG,Zhi-bin GUO   

  1. China Unicom Research Institute,Beijing 100032,China
  • Online:2015-11-25 Published:2015-12-29

摘要:

首先简要介绍了稀疏表达模型以及其常用的求解方法;然后讨论了一种基于稀疏表达的微弱信号提取及检测方法;在此基础上,为了减少时间与空间复杂度,开发了一种快速求解算法;最后给出信号的提取结果以及定性与定量分析,并用大量的实验结果证明讨论的基于稀疏表达的微弱信号提取及检测方法的顽健性与自适应能力。

关键词: 稀疏表达, 微弱信号, 信号提取, 信号检测

Abstract:

The sparsity models and their popular evaluation algorithms were presented.A sparse representation based approach to weak signal extraction and detection was proposed.Furthermore,a fast algorithm was developed to reduce the computational complexity of the proposed method.In addition,both qualitative and quantitative evaluation methods were designed to analyze the proposed approach.A large number of experiments demonstrate the robustness and the adaptivity of the proposed approach.

Key words: sparse representation, weak signal, signal extraction, signal detection

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