基于稀疏表达的微弱信号提取及检测方法

doi:10.11959/j.issn.1000-436x.2015302

Abstract

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

Ya-fei TANG,Yun-yong ZHANG,Zhi-bin GUO. Approach to weak signal extraction and detection via sparse representation[J]. Journal on Communications, 2015, 36(Z1): 215-223.

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References 10

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信噪比/dB	基准方法	本文方法
-10	0.89	0.91
-15	0.75	0.80
-20	0.67	0.70
-30	0.61	0.63

信噪比/dB	平均误差		标准误差
信噪比/dB	基准方法	本文方法	基准方法	本文方法
-10	4.30	3.63	6.31	5.49
-15	9.78	7.95	8.91	7.78
-20	13.05	12.47	9.70	9.60
-30	15.46	14.79	10.41	10.48

信噪比/dB	基准方法	本文方法
-10	0.91	0.99
-15	0.90	0.93
-20	0.79	0.84
-30	0.68	0.71

信噪比/dB	平均误差		标准误差
信噪比/dB	基准方法	本文方法	基准方法	本文方法
-10	3.31	0.51	4.37	1.30
-15	3.90	2.61	4.54	4.53
-20	7.83	6.23	9.05	7.56
-30	12.53	11.60	9.64	10.14

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Approach to weak signal extraction and detection via sparse representation

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