Paper Info
Title
Antenna Radiation Pattern Compressive Sensing
Abstract
Modern wireless communications is placing ever greater demands on the system's antenna. But high-resolution, wide-band antenna pattern measurement remains a slow, expensive process that can hinder research, development, and production. This paper explores the use of compressive sensing to accelerate the measurement process. Compessive sensing is particularly well suited to applications that meet four criteria: the data is high-dimensional and very sparse, current measurement methods are expensive, the measurements are conducted in a controlled environment, and there are sufficient processing resources for data recovery. Wide-band antenna pattern measurement meets all of these criteria, making it an ideal candidate for compressive sensing. This paper reviews standard sampling methods, illustrating the advantages of compressive sensing. Simulations of several compressive sensing architectures are presented that require fewer measurements than traditional methods, significantly accelerating the measurement process. Additionally, the structure of the sensing signals is optimized within a compressive sensing framework, further increasing system performance.
Year
DOI
Venue
2018
10.1109/MILCOM.2018.8599791
2018 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2018)
Field
DocType
ISSN
Antenna radiation patterns,Wireless,Computer science,Radiation pattern,Electronic engineering,Sampling (statistics),Data recovery,Compressed sensing
Conference
2155-7578
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Michael L. Don100.34
Gonzalo R. Arce21061134.94