A New Computing Paradigm for Off-Grid Direction of Arrival Estimation Using Compressive Sensing
Joint Authors
Raja, Muhammad Asif Zahoor
Qureshi, Ijaz Mansoor
Chaudhary, Naveed Ishtiaq
Mirza, Hamid Ali
Aslam, Laeeq
Malik, Aqdas Naveed
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, a method for solving grid mismatch or off-grid target is presented for direction of arrival (DOA) estimation problem using compressive sensing (CS) technique.
Location of the sources are at few angles as compare to the entire angle domain, i.e., spatially sparse sources, and their location can be estimated using CS methods with ability of achieving super resolution and estimation with a smaller number of samples.
Due to grid mismatch in CS techniques, the source energy is distributed among the adjacent grids.
Therefore, a fitness function is introduced which is based on the difference of the source energy among the adjacent grids.
This function provides the best discretization value for the grid through iterative grid refinement.
The effectiveness of the proposed scheme is verified through extensive simulations for different number of sources.
American Psychological Association (APA)
Mirza, Hamid Ali& Aslam, Laeeq& Raja, Muhammad Asif Zahoor& Chaudhary, Naveed Ishtiaq& Qureshi, Ijaz Mansoor& Malik, Aqdas Naveed. 2020. A New Computing Paradigm for Off-Grid Direction of Arrival Estimation Using Compressive Sensing. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214964
Modern Language Association (MLA)
Mirza, Hamid Ali…[et al.]. A New Computing Paradigm for Off-Grid Direction of Arrival Estimation Using Compressive Sensing. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1214964
American Medical Association (AMA)
Mirza, Hamid Ali& Aslam, Laeeq& Raja, Muhammad Asif Zahoor& Chaudhary, Naveed Ishtiaq& Qureshi, Ijaz Mansoor& Malik, Aqdas Naveed. A New Computing Paradigm for Off-Grid Direction of Arrival Estimation Using Compressive Sensing. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214964
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214964