Empirical Optimization of Antenna Arrays.

Abstract

The report describes a technique developed to optimize the performance of antenna arrays under realistic, on the vehicle conditions. This technique permits free choice of optimality criteria and design parameters and is applicable to both planar and nonplanar arrays with geometric constraints. The need for an improved Airborne Early Warning (AEW) airplane, the improvement being that of an airborne antenna system with reduced side lobes, was the main impetus for this investigation. The work reported grew from an initial study of the antenna array problem under the assumption of idealized free-space conditions. An experimental-computational approach to the solution of this problem has been formulated in which powerful n-dimensional optimum search methods (i.e., the Davidon algorithm) are applied to experimental data obtained from carefully scaled models of the vehicle and antenna array configuration. The optimization algorithm provides a new design for the antenna array that is then used in the scale model, and the process develops in an iterative fashion. The necessary laboratory setup and data processing techniques used to test the feasibility of this approach are discussed. Experimental results showing encouraging improvements have been obtained on an array of eight elements both with and without an aircraft model. These results indicate that the algorithmic procedure is both stable and convergent. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1971
Accession Number
AD0725395

Entities

People

  • S. Blank

Organizations

  • Grumman

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Airborne
  • Airborne Early Warning
  • Aircraft Models
  • Aircrafts
  • Airplanes
  • Algorithms
  • Antenna Arrays
  • Antennas
  • Arrays
  • Data Processing
  • Experimental Data
  • Models
  • Optimization
  • Scale Models
  • Vehicles

Readers

  • Operations Research
  • Phased Array Antenna Design.
  • Systems Analysis and Design

Technology Areas

  • Space