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Microstrip antenna is gathering a lot of interest in communication systems. In this paper neural network approach has been used for calculation of feed position of microstrip antenna for maximum power transfer. This paper demonstrates the validity of neural network for the estimation of feed point of patch antenna varying with input impedance. Accuracy of the results encourages the use of Neural network.. Further simulations are done using CST software.

Microstrip antenna is gathering a lot of interest in communication systems. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of proximity coupled antenna. Patch length, patch width are taken as optimization parameters. Return loss and radiation pattern for the optimized antenna are verified using IE3D software. Accuracy of the results encourages the use of genetic algorithm. Further a parasitic patch coupled to electromagnetically coupled microstrip antenna is designed for broadband operations using IE3D software

A simple and efficient method of achieving multiband operation on a microstrip patch antenna is presented on this paper. The patch is designed by simply modifying the crown square geometry, which is fractal geometry. Multiband characteristic is obtained by the self similar property of the designed patch. Method to vary the operational frequencies for one antenna is also suggested. The physical dimensional parameters of the designed antenna can be adjusted so as to obtain the frequencies to some useful frequency ranges. The proposed antennas are giving broadside radiation on the working frequencies. The antennas are designed using finite element method based HFSS and its performance is demonstrated in terms of return loss, radiation pattern and VSWR.

Microstrip antenna is gathering a lot of interest in communication systems. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of microstrip patch antenna. In this paper, genetic algorithm has been used for optimization of resonant frequency of coaxially fed rectangular microstrip antenna. The investigation is made at 3 different frequencies 3GHz, 5GHz and 10GHz respectively. Patch length, patch width & feed position are taken as optimization parameters. Return loss and radiation pattern for the optimized antenna are verified using IE3D software. Accuracy of the results encourages the use of genetic algorithm. Keywords - Rectangular microstrip antenna, genetic algorithm, resonant frequency, IE3D.