Adaptive Neuro-Fuzzy Inference System-Based Approach to Design a Multi-Band PIFA Antenna for Wireless Applications

The fast expansion of wireless systems over the last decade has created a great need for wireless devices that handle multi-band frequencies. In fact, employ single band antennas occupies a large volume of portable devices. Multiband antennas can be a good solution to avoid this constraint of the space occupied by the antenna. The most prevalent antennas throughout current portable devices is the planar inverted F antenna (PIFA). due to its basic construction and tiny size and inexpensive charge. This paper suggests a PIFA antenna with three distinct operating frequencies, enabling triple-band features of GSM, 0.9 GHz, DCS, 1.8 GHz, Wi-Fi, and Bluetooth 2.45 GHz technologies. Developing antennas that operate in more than one band is challenging since it necessitates establishing precise working frequencies for a certain technology, which might take time. To address this issue, techniques for facilitating the design process are frequently used. The goal of this research is to design the triple band PIFA antenna employing the adaptive neuro-fuzzy inference system (ANFIS). To achieve triple-band functionality, the dimensions and locations of added slots in the radiating patch are predicted using ANFIS models that take the intended frequency as input. Statistical criteria are used to verify the effectiveness of the ANFIS systems such as MSE, MAE and R, the obtained values of this errors in each output are acceptable. The suggested triple band PIFA antenna produced employing ANFIS models has three operational frequencies 0.93GHz, 1.82 GHz and 2.42GHz, as well as excellent return loss adaption S
11
, for the resonance frequency f
1
= 0.93 GHz the S
11
is -14.4298 dB, -20.3203 dB at f
2
= 1.82 GHz and -13.4398 dB at f
3
=2.42 GHz. Furthermore, the proposed antenna exhibits an improved gain at each resonance frequency, measuring 4.7161 dB and 4.8272 dB for the lesser and middle frequencies, respectively, and 8.2876 dB for the higher frequency.