Automobile conformal antenna design using non-dominated sorting genetic algorithm (NSGA)

The use of conformal antennas for vehicle applications is growing very rapidly due to the development of modern wireless communication technology and service. One of the popular ways to design automobile conformal antennas is to modify an existing antenna. These modification processes rely on the designer's intuition and many tedious measurements. The authors propose a computational conformal antenna design based on the nondominated sorting genetic algorithm (NSGA) modifying existing antenna types to improve performance. Simulations and measurement results are presented and discussed.