Fast Antenna Diagnosis Algorithm Using Oblate Spheroidal Nonuniform Grids

Alexander Gergel; Yaniv Brick; Amir Boag

doi:10.1109/TAP.2016.2597644

Fast Antenna Diagnosis Algorithm Using Oblate Spheroidal Nonuniform Grids

Alexander Gergel, Yaniv Brick, Amir Boag

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

A fast algorithm for the diagnosis of large antennas is developed. The algorithm is based on the Rayleigh-Sommerfeld (RS) backpropagation method, accelerated by a multilevel nonuniform grid algorithm. Comparison between the field distributions reconstructed from measurements and the desired ones can be used for the localization of antenna defects and geometrical distortions. The optimal performance is obtained by using oblate spheroidal grids, which are tailored to both the measurement and antenna surfaces. Further acceleration can be achieved, for particular cases, via optimal sampling on the antenna surface. The algorithm's performance is demonstrated for the example of a parabolic reflector with a number of surface distortions, and compared to that achieved with spherical grids. The accuracy and error controllability are studied in comparison to the direct RS integral computation.

Original language	English
Article number	7529183
Pages (from-to)	4197-4207
Number of pages	11
Journal	IEEE Transactions on Antennas and Propagation
Volume	64
Issue number	10
DOIs	https://doi.org/10.1109/TAP.2016.2597644
State	Published - 1 Oct 2016
Externally published	Yes

Keywords

Antenna measurements
backpropagation
fast algorithms
source imaging

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/TAP.2016.2597644

Cite this

@article{8140685c93ea426a8912da129343b76b,

title = "Fast Antenna Diagnosis Algorithm Using Oblate Spheroidal Nonuniform Grids",

abstract = "A fast algorithm for the diagnosis of large antennas is developed. The algorithm is based on the Rayleigh-Sommerfeld (RS) backpropagation method, accelerated by a multilevel nonuniform grid algorithm. Comparison between the field distributions reconstructed from measurements and the desired ones can be used for the localization of antenna defects and geometrical distortions. The optimal performance is obtained by using oblate spheroidal grids, which are tailored to both the measurement and antenna surfaces. Further acceleration can be achieved, for particular cases, via optimal sampling on the antenna surface. The algorithm's performance is demonstrated for the example of a parabolic reflector with a number of surface distortions, and compared to that achieved with spherical grids. The accuracy and error controllability are studied in comparison to the direct RS integral computation.",

keywords = "Antenna measurements, backpropagation, fast algorithms, source imaging",

author = "Alexander Gergel and Yaniv Brick and Amir Boag",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = oct,

day = "1",

doi = "10.1109/TAP.2016.2597644",

language = "English",

volume = "64",

pages = "4197--4207",

journal = "IEEE Transactions on Antennas and Propagation",

issn = "0018-926X",

publisher = "Institute of Electrical and Electronics Engineers",

number = "10",

}

TY - JOUR

T1 - Fast Antenna Diagnosis Algorithm Using Oblate Spheroidal Nonuniform Grids

AU - Gergel, Alexander

AU - Brick, Yaniv

AU - Boag, Amir

PY - 2016/10/1

Y1 - 2016/10/1

N2 - A fast algorithm for the diagnosis of large antennas is developed. The algorithm is based on the Rayleigh-Sommerfeld (RS) backpropagation method, accelerated by a multilevel nonuniform grid algorithm. Comparison between the field distributions reconstructed from measurements and the desired ones can be used for the localization of antenna defects and geometrical distortions. The optimal performance is obtained by using oblate spheroidal grids, which are tailored to both the measurement and antenna surfaces. Further acceleration can be achieved, for particular cases, via optimal sampling on the antenna surface. The algorithm's performance is demonstrated for the example of a parabolic reflector with a number of surface distortions, and compared to that achieved with spherical grids. The accuracy and error controllability are studied in comparison to the direct RS integral computation.

AB - A fast algorithm for the diagnosis of large antennas is developed. The algorithm is based on the Rayleigh-Sommerfeld (RS) backpropagation method, accelerated by a multilevel nonuniform grid algorithm. Comparison between the field distributions reconstructed from measurements and the desired ones can be used for the localization of antenna defects and geometrical distortions. The optimal performance is obtained by using oblate spheroidal grids, which are tailored to both the measurement and antenna surfaces. Further acceleration can be achieved, for particular cases, via optimal sampling on the antenna surface. The algorithm's performance is demonstrated for the example of a parabolic reflector with a number of surface distortions, and compared to that achieved with spherical grids. The accuracy and error controllability are studied in comparison to the direct RS integral computation.

KW - Antenna measurements

KW - backpropagation

KW - fast algorithms

KW - source imaging

UR - http://www.scopus.com/inward/record.url?scp=84994583516&partnerID=8YFLogxK

U2 - 10.1109/TAP.2016.2597644

DO - 10.1109/TAP.2016.2597644

M3 - Article

AN - SCOPUS:84994583516

SN - 0018-926X

VL - 64

SP - 4197

EP - 4207

JO - IEEE Transactions on Antennas and Propagation

JF - IEEE Transactions on Antennas and Propagation

IS - 10

M1 - 7529183

ER -

Fast Antenna Diagnosis Algorithm Using Oblate Spheroidal Nonuniform Grids

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this