Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Antenna array pattern synthesis technology plays a vital role in the field of smart antennas.
It is well known that the pattern synthesis of homogeneous array is the key topic of pattern synthesis technology.
But this technology needs plenty of homogeneous array elements to meet the antenna requirements.
So, a novel pattern synthesis technology for sparse array based on the compressed sensing (CS) and low-rank matrix recovery (LRMR) methods is proposed.
The proposed technology predominantly includes the design of sparse array, the recovery of homogeneous array, and the synthesis of antenna array pattern.
The simulation result shows that an antenna array with low gain and strong directivity can be arbitrarily built by the use of a small amount of sparse array elements and it is useful for the miniaturization and economical efficiency of the antenna system.
American Psychological Association (APA)
Wang, Ting& Xia, Kewen& Lu, Ning. 2018. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods. International Journal of Antennas and Propagation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1168960
Modern Language Association (MLA)
Wang, Ting…[et al.]. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods. International Journal of Antennas and Propagation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1168960
American Medical Association (AMA)
Wang, Ting& Xia, Kewen& Lu, Ning. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods. International Journal of Antennas and Propagation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1168960
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168960