Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm

This paper presents the design of a novel fabric-based multi-band microstrip antenna in mm-wave frequencies for wearable applications. The reference patch was etched on flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension 18 mm × 0.6 and optimized geometry using binary-coded genetic algorithm. algorithm iteratively creates new shape path surface, evaluates cost function, returns best-fitted based formulated fitness function. free space on-body simulation performance parameter investigated analyzed. In space, proposed is resonant at five distinct frequencies: 27.8 GHz, 30.3 40.1 47.2 56.7 GHz. achieves wide bandwidth 0.69, 2.32, 2.22, 1.76, 8.11 GHz improved broadside directivity 10.3, 8.5, 7.8, 9.6, 8.9 dB respectively. For analysis, simulated three-layer human body phantom model three distances. gain radiation efficiency were significantly reduced when close to gradually enhanced as gap increased. Moreover, performances evaluated compared by four additional substrates. Because its excellent textile-based substrates, suitable candidate body-centric communications.