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Microstrip patch antenna design

Microstrip patch antenna design

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Emerging Evolutionary Algorithms for Antennas and Wireless Communications — Recommend this title to your library

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This chapter describes patch design cases for different applications. The use of microstrip patch antennas in wireless communication systems provides several advantages like low profile, low cost, and ease of fabrication. Moreover, microstrip patch antennas can provide a possible solution for fifth generation (5G) antenna design. Different antenna shapes can be fabricated using the rectangular patch as an initial step. This type of antenna design requires the simultaneous optimization of several different geometrical parameters. An optimization algorithm or techniques is a suitable approach for solving this problem. In the literature, there are several examples of patch antenna design and optimization using different evolutionary algorithms (BAs) [1-5]. These approaches include genetic algorithms [6], particle swarm optimization (PSO) [7-9], differential evolution (DB) [10-13], teaching-learning-based optimization (TLBO)[14], Jaya [15], and a hybrid Jaya-GWO algorithm [16].

Chapter Contents:

  • 4.1 E-shaped patch antenna design
  • 4.1.1 Frequency-independent design procedure
  • 4.1.2 Dual-band 5G antenna design
  • 4.2 Half E-shaped patch antenna design
  • 4.2.1 Wireless LAN antenna design
  • 4.2.2 5G antenna design
  • 4.3 Arbitrary-shaped patch antenna design
  • References

Inspec keywords: genetic algorithms; evolutionary computation; particle swarm optimisation; microstrip antennas; 5G mobile communication

Other keywords: microstrip patch antenna design; rectangular patch; microstrip patch antennas; patch design cases; wireless communication systems; fifth generation antenna design; different geometrical parameters; different evolutionary algorithms; different antenna shapes

Subjects: Optimisation techniques; Single antennas; Mobile radio systems; Optimisation techniques

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