Super-Resolution DoA Estimation on a Co-Prime Array via Positive Atomic Norm Minimizationopen access
- Authors
- Chung, Hyeonjin; Park, Young Mi; Kim, Sunwoo
- Issue Date
- Jul-2020
- Publisher
- MDPI
- Keywords
- super-resolution; positive atomic norm minimization; co-prime array; direction-of-arrival (DoA) estimation; continuous compressive sensing
- Citation
- ENERGIES, v.13, no.14
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENERGIES
- Volume
- 13
- Number
- 14
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/9682
- DOI
- 10.3390/en13143609
- ISSN
- 1996-1073
- Abstract
- A super-resolution direction-of-arrival (DoA) estimation algorithm that employs a co-prime array and positive atomic norm minimization (ANM) is proposed. To exploit larger array cardinality, the co-prime array vector is constructed by arranging elements of a correlation matrix. The positive ANM is a technique that can enhance resolution when the coefficients of the atoms are the positive real numbers. A novel optimization problem is proposed to ensure the coefficients of the atoms are the positive real numbers, and the positive ANM is employed after solving the optimization problem. The simulation results show that the proposed algorithm achieves high resolution and has lower complexity than the other ANM-based super-resolution DoA estimation algorithm.
- Files in This Item
-
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/9682)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.