Numerical Optimization of Compressive Array Feed Networks

Compressive antenna arrays reduce the number of beamforming controls by taking a limited number of weighted combinations of the element signals. A compressive array sidelobe level (SLL)-minimization algorithm, inspired by coherence-optimization algorithms, is presented. Optimized compressive arrays...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2018-07, Vol.66 (7), p.3432-3440
Main Authors: Laue, Heinrich Edgar Arnold, du Plessis, Warren Paul
Format: Article
Language:English
Subjects:
Algorithms
Antenna arrays
Antenna feeds
antenna pattern synthesis
Array signal processing
Beamforming
Coherence
compressive sensing (CS)
Optimization
phased arrays
Sensors
Sidelobes
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Compressive antenna arrays reduce the number of beamforming controls by taking a limited number of weighted combinations of the element signals. A compressive array sidelobe level (SLL)-minimization algorithm, inspired by coherence-optimization algorithms, is presented. Optimized compressive arrays are shown to obtain better SLLs than existing weighted thinned arrays and completely overlapped subarrays. The design of a compressive array with arbitrary sidelobe requirements shows that increasing the number of elements for a given number of beamforming controls improves the array performance over a conventional array. A compressive array with a hard null is proposed to suppress the interference before sampling. Where beamforming controls are the main cost drivers, the proposed approach promises to increase the array performance without a significant increase in cost.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2018.2829834