Microstrip antennas and methods of designing same

摘要

The use of a genetic algorithm (GA) to design patch shapes of microstrip antennas for multi-band applications is disclosed. A full-wave electromagnetic solver is used to predict the performance of microstrip antennas with arbitrary patch shapes. Two-dimensional chromosomes are used to encode each patch shape into a binary map. GA with two-point crossover and geometrical filtering is implemented to achieve efficient optimization. The GA-optimized designs are built on a solid substrate (e.g., FR-4). The patch shape may be further optimized to broaden the bandwidth at one or more of the frequencies. In addition to multi-band operation in frequency, designs based on other objectives, including size miniaturization and/or circular polarization are disclosed.