Genetic Algorithm Optimization of Log-Periodic Dipole Array

This paper presents Genetic Algorithm (GA) optimization of Log-Periodic Dipole Array (LPDA). Considering the fact that, an LPDA can effectively be used for different wireless communication systems such as WiMAX, GSM-I, GSM-II and WiFi, respectively. GA optimization is applied to the physical size of the antenna and on its gain. The proposed design is compared with the conventional LPDA design in terms of length, diameter and spacing between the dipole elements. Presented results show that, the proposed optimization approach can significantly improve the antenna gain and reduced its size. The size of the antenna is reduced up to 12% as compared to the conventional design. Also, the gain is improved from 9.1, 9.5, 9.2 and 8.5 dB to 10.7, 11.2, 9.9 and 9.1 dB for the desired communication bands. The reduction in size and increment in gain make LPDA an attractive choice for wireless applications.