Mode-Stirred Chamber Sample Selection Technique Applied to Antenna Correlation Coefficient | Zendy

Paul Hallbjörner | Zendy; Juan D. SánchezHeredia | Zendy; Antonio MartínezGonzález | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Mode-Stirred Chamber Sample Selection Technique Applied to Antenna Correlation Coefficient

Author(s) -

Paul Hallbjörner,

Juan D. SánchezHeredia,

Antonio MartínezGonzález

Publication year - 2012

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2012/986514

Subject(s) - correlation coefficient , antenna (radio) , sample (material) , selection (genetic algorithm) , mode (computer interface) , mimo , computer science , set (abstract data type) , electronic engineering , engineering , physics , telecommunications , artificial intelligence , machine learning , beamforming , thermodynamics , programming language , operating system

Mode-stirred chambers provide an excellent tool for antenna characterization. Recent research has focused on making the mode-stirred chamber technique more versatile. One result of these efforts is the sample selection technique, by which a subset of data with specific properties is extracted from a measured set of raw data. This paper presents how to apply the sample selection technique to measurements of the correlation coefficient in dual antenna measurements, for example, for diversity or MIMO applications. Theoretical background and useful mathematical relations are presented. The application is verified through measurements.This work was supported in part by the Spanish National R & D Programme through TEC 2008-05811 and by Fundacion´ Seneca, the R & D coordinating agency for the Region of ´ Murcia (Spain) under the 11783/PI/09 and 11610/IV2/09 Projects

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research