Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


dissertation_latex.pdf (31.3 MB)

ETD Abstract Container

Abstract Header

Sparse-Constrained Equivalent Element Distribution Method to Represent Measured Antenna Data in Numerical Electromagnetics Codes

Tchorowski, Leo A.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1582877220383629

Abstract Details

2020, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
Antennas mounted on aircraft, UAVs, and other platforms are used in a number of critical applications, such as navigation, communication, and situational awareness. Since the platform can heavily affect the antenna pattern, one should carry out in situ characterization of the antenna to evaluate the performance of the RF systems. It is often too expensive or impractical to measure the antenna on the intended platform, so instead, the antenna under test (AUT) is measured on a simple ground plane. The measurements are then imported into computational electromagnetics (CEM) codes to simulate platform scattering from the platform of interest. However, current approaches struggle to isolate the antenna radiation from the measurement ground plane interactions, leading to inaccuracies in the AUT representation. Furthermore, many approaches rely on near-field measurements for accuracy and use many current elements to represent the AUT leading to long simulation run-times. This dissertation presents a novel approach for in situ manifold estimation which represents measured data via a weighted sum of simple basis element far-fields. The approach, the Sparse-Constrained Equivalent Element Distribution Method (SC-EEDM), provides a more accurate representation of the AUT compared to existing techniques. The SC-EEDM accurately represents the AUT using measured far-field data only, and represents the AUT using a small number of current elements. In addition, the SC-EEDM isolates antenna radiation from antenna-ground plane interactions, leading to more accurate in situ manifold estimations. Using high-fidelity simulations, the method is shown to accurately estimate antenna far-fields on complex platforms from antenna measurements on simple structures.
Inder Gupta (Advisor)
Robert Burkholder (Committee Member)
Teixeira Fernando (Committee Member)
278 p.
Electrical Engineering; Electromagnetics; Electromagnetism
antenna manifold, platform effects, sparse representation, antenna representation

Recommended Citations

Citations

  • Tchorowski, L. A. (2020). Sparse-Constrained Equivalent Element Distribution Method to Represent Measured Antenna Data in Numerical Electromagnetics Codes [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1582877220383629

    APA Style (7th edition)

  • Tchorowski, Leo. Sparse-Constrained Equivalent Element Distribution Method to Represent Measured Antenna Data in Numerical Electromagnetics Codes. 2020. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1582877220383629.

    MLA Style (8th edition)

  • Tchorowski, Leo. "Sparse-Constrained Equivalent Element Distribution Method to Represent Measured Antenna Data in Numerical Electromagnetics Codes." Doctoral dissertation, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1582877220383629

    Chicago Manual of Style (17th edition)

osu1582877220383629
206
© 2020, some rights reserved.Creative Commons License Sparse-Constrained Equivalent Element Distribution Method to Represent Measured Antenna Data in Numerical Electromagnetics Codes by Leo A. Tchorowski is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.