Nature-based design of aperiodic linear arrays with broadband elements using a combination of rapid neural-network estimation techniques and genetic algorithms

Craig S. DeLuccia, Douglas Henry Werner

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

The developments presented in this paper address the challenge of determining the optimal element positions in nonuniformly spaced broadband phased-array antennas in order to best meet desired performance criteria. Specifically, this is accomplished by introducing a new nature-based design technique that couples a robust genetic-algorithm (GA) optimizer with rapid neural-network (NN) estimation procedures. These provide performance criteria as functions of the element positions over the entire scanning range and bandwidth of operation. The objective of this GA-NN technique is to determine the optimal element positions for a broadband aperiodic linear phased-array antenna in order to minimize element VSWRs and sidelobe levels. The NN estimation procedures circumvent the need for computationally intensive full-wave numerical simulations during the optimization process, which would ordinarily render such an optimization task practical. The effectiveness of the new GA-NN design synthesis technique is demonstrated by considering an example where a nonuniformly spaced linear phased array of ten stacked patch antennas is optimized for operation within a given bandwidth and scanning range.

Original languageEnglish (US)
Pages (from-to)13-23
Number of pages11
JournalIEEE Antennas and Propagation Magazine
Volume49
Issue number5
DOIs
StatePublished - Oct 1 2007

Fingerprint

linear arrays
genetic algorithms
Antenna phased arrays
phased arrays
Genetic algorithms
broadband
Neural networks
antennas
bandwidth
Scanning
Bandwidth
optimization
scanning
patch antennas
sidelobes
Microstrip antennas
Computer simulation
synthesis
simulation

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

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