학술논문

GPU-based computational acceleration of phaseless algorithms for antenna characterization
Document Type
Conference
Source
2017 11th European Conference on Antennas and Propagation (EUCAP) Antennas and Propagation (EUCAP), 2017 11th European Conference on. :1452-1456 Mar, 2017
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Transportation
Antenna measurements
Graphics processing units
Phase measurement
Antenna arrays
Magnetic field measurement
Current measurement
Radar antennas
Sources Reconstruction Method (SRM)
Phaseless Antenna Measurements
Graphics Processing Unit
Acceleration Schemes
Antenna Diagnosis
Near Field to Far Field Transformation
Language
Abstract
In the field of antenna diagnosis and characterization, the Sources Reconstruction Method (SRM) has been proved to be a powerful tool enabling the use of arbitrary-geometry measurement and reconstruction surfaces. The SRM has been extended for phaseless antenna characterization using two or more acquisition surfaces, as a simpler (but slower) alternative to holographic techniques. One of the main drawbacks of phase retrieval using multiple surfaces is the need of solving a set of nonlinear equations relating the measured amplitude with a set of equivalent currents using iterative, time-consuming methods. This contribution aims to improve the applicability of this methodology by reducing the time cost of the iterative procedure by means of Graphics Processing Units (GPU). Speed-up rates ranging from 50 to 90 times compared with sequential CPU (Central Processing Unit)-only implementation have been achieved.