CST – Computer Simulation Technology

Optimization of Reflection Coefficient of Large Log-Periodic Array by Computing only a Small Part of It

Title:
Optimization of Reflection Coefficient of Large Log-Periodic Array by Computing only a Small Part of It
Author(s):
Jian Yang, Per-Simon Kildal
Source:
IEEE Transactions on Antennas and Propagation
Vol./Issue/Date:
Volume: 59, Issue: 6, June 2011
Year:
2011
Page(s):
1790 - 1797
Keywords:
Antenna feed, Eleven antenna, log-periodic array antenna, optimization, genetic algorithm
Abstract:
A new method is described in the paper to predict the reflection coefficient of a complete large log-periodic array (with large number of elements) from the computed performance of a small part of the array. The small part is referred to as the partial array. The method involves computing the embedded Sparameters between all the elements of this partial array and then using these S-parameters to predict the performance of the full array. As an example, the method has been applied to optimize the Eleven antenna for 2 - 13 GHz. The result of the optimization is that the reflection coefficient is improved significantly to be below -10 dB over the whole frequency band. The results have been verified by measurements.
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