We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Compressed sensing approach for pattern synthesis of maximally sparse non-uniform linear array.
- Authors
Xiaowen Zhao; Qingshan Yang; Yunhua Zhang
- Abstract
Compressed sensing (CS) has been successfully applied to the synthesis of maximally sparse non-uniform linear array with the synthesised pattern matching the reference pattern very well by using as few elements as possible. According to the CS theory, a sparse or compressible high-dimensional signal can be first projected onto a low-dimensional space through a measurement matrix, and then recovered accurately by using a variety of practical algorithms based on the low-dimensional information. The proposed approach can synthesise the sparse linear arrays fitting the desired patterns with a minimum number of elements. Numerical simulations validate the effectiveness and advantages of the proposed synthesis method. Moreover, compared with the existing sparse-array synthesis methods, the author's method is more robust and accurate, while maintaining the advantage of easy implementation.
- Subjects
COMPRESSED sensing; SIGNAL sampling; COMPUTER simulation; MICROWAVES; ANTENNAS (Electronics)
- Publication
IET Microwaves, Antennas & Propagation (Wiley-Blackwell), 2014, Vol 8, Issue 5, p301
- ISSN
1751-8725
- Publication type
Article
- DOI
10.1049/iet-map.2013.0492