Sparse signal recovery based on majorization-minimization with enhanced sparsity

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	Sparse signal recovery based on majorization-minimization with enhanced sparsity
	Wang, C.; Fang, F.; Huang, Q.; Zhang, L.
	2018-07-01
Source Publication	Journal of Shanghai University (Natural Science)
ISSN	1007-2861
Pages	571-581
Abstract	Conventional sparse signal recovery algorithms fail to promote strong sparsity. To overcome this drawback, this paper proposes a sparse signal recovery algorithm based on a non-convex function with enhanced sparsity. Relationship between the shrinkage function and the penalty function is shown, and a new non-convex penalty function with enhanced sparsity proposed. The majorization-minimization (MM) method is used to solve the non- convex optimization problem. The convex upper bounds are constructed to approximate the original non-convex penalty function that is hard to solve. Both the convex part and the convex upper bounds of this objective function are optimized iteratively. Compared with existing algorithms based on non-convex penalty functions, the proposed algorithm has two main advantages. First, it is free of the impact of parameter. Second, the gradient direction of the proposed algorithm includes the non-convex part of the objective function. In particular, for sparse wireless channel estimation problems, simulation shows that the proposed algorithm can achieve more accurate estimation with less pilot symbols.
Keyword	sparse signal recovery enhanced sparsity non-convex optimization channel estimation
URL	View the original
Language	英語English
The Source to Article	PB_Publication
PUB ID	39727
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Recommended Citation GB/T 7714	Wang, C.,Fang, F.,Huang, Q.,et al. Sparse signal recovery based on majorization-minimization with enhanced sparsity[J]. Journal of Shanghai University (Natural Science), 2018, 571-581.
APA	Wang, C.., Fang, F.., Huang, Q.., & Zhang, L. (2018). Sparse signal recovery based on majorization-minimization with enhanced sparsity. Journal of Shanghai University (Natural Science), 571-581.
MLA	Wang, C.,et al."Sparse signal recovery based on majorization-minimization with enhanced sparsity".Journal of Shanghai University (Natural Science) (2018):571-581.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh