On the empirical optimization of antenna arrays

  • Blank S
  • Hutt M
  • 5


    Mendeley users who have this article in their library.
  • 26


    Citations of this article.


Empirical optimization is an algorithm for the optimization of antenna array performance under realistic conditions, accounting for the effects of mutual coupling and scattering between the elements of the array and the nearby environment. The algorithm can synthesize optimum element spacings and optimum element excitations. It is applicable to arrays of various element types having arbitrary configurations, including phased arrays, conformal arrays and nonuniformly spaced arrays. The method is based on measured or calculated element-pattern data, and proceeds in an iterative fashion to the optimum design. A novel method is presented in which the admittance matrix representing an antenna array, consisting of both active and passive elements, is extracted from the array's element-pattern data. The admittance-matrix formulation incorporated into the empirical optimization algorithm enables optimization of the location of both passive and active elements. The methods also provide data for a linear approximation of coupling as a function of (nonuniform) element locations, and for calculation of element scan impedances. Computational and experimental results are presented that demonstrate the rapid convergence and effectiveness of empirical optimization in achieving realistic antenna array performance optimization.

Author-supplied keywords

  • Admittance matrix
  • Antenna arrays
  • Electromagnetic coupling
  • Impedance matrix
  • Non-uniformly spaced arrays
  • Optimization methods
  • Phased arrays

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Stephen Jon Blank

  • Michael F. Hutt

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free