Single Snapshot DOA Estimation by Minimizing the Fraction Function in Sparse Recovery
Joint Authors
Wang, Changlong
Che, Jibin
Zhou, Feng
Hou, Jinyong
Li, Chen
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Sparse recovery is one of the most important methods for single snapshot DOA estimation.
Due to fact that the original l0-minimization problem is a NP-hard problem, we design a new alternative fraction function to solve DOA estimation problem.
First, we discuss the theoretical guarantee about the new alternative model for solving DOA estimation problem.
The equivalence between the alternative model and the original model is proved.
Second, we present the optimal property about this new model and a fixed point algorithm with convergence conclusion are given.
Finally, some simulation experiments are provided to demonstrate the effectiveness of the new algorithm compared with the classic sparse recovery method.
American Psychological Association (APA)
Wang, Changlong& Che, Jibin& Zhou, Feng& Hou, Jinyong& Li, Chen. 2020. Single Snapshot DOA Estimation by Minimizing the Fraction Function in Sparse Recovery. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1196558
Modern Language Association (MLA)
Wang, Changlong…[et al.]. Single Snapshot DOA Estimation by Minimizing the Fraction Function in Sparse Recovery. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1196558
American Medical Association (AMA)
Wang, Changlong& Che, Jibin& Zhou, Feng& Hou, Jinyong& Li, Chen. Single Snapshot DOA Estimation by Minimizing the Fraction Function in Sparse Recovery. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1196558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196558