Sidelobe Level Optimization of Rectangular Microstrip Patch Antenna Array using Binary Coded Genetic Algorithm
K. Karuna Kumari1, P. V. Sridevi2

1K. Karuna Kumari*, Department of ECE, GITAM, Visakhapatnam, Andhra Pradesh, India.
2Dr. P. V. Sridevi, Professor, Department of ECE, Andhra University, Visakhapatnam, Andhra Pradesh, India
Manuscript received on January 10, 2020. | Revised Manuscript received on January 21, 2020. | Manuscript published on February 10, 2020. | PP: 2053-2056 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1200029420/2020©BEIESP | DOI: 10.35940/ijitee.D1200.029420
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Abstract: In modern world, communication systems requires development of low cost, minimal weight, and low profile antennas which are capable of maintaining high performance over wide range of frequencies. Patch antenna is one such antenna which fulfills the demands of current communication systems. The widely used microstrip patch antennas are rectangular patch antennas. This paper presenting the application of binary coded Genetic Algorithm (BGA) which is applied to the rectangular patch microstrip antenna with uniform linear arrays. The fitness function of GA is maximum reduction in peak side lobe level of the radiation pattern of the antenna with maximum reduction in the side lobe level and also achieved the minimum possible null to null beam width, the resultant radiation patterns for both before GA and after GA of microstrip array are compared. The radiation patterns are presented for 20,50,100 number of elements. All the simulated results are obtained by using MATLAB software. etic algorithms, Linear array antenna, MATLAB soft ware.
Keywords:  Rectangular Patch Antenna, Gen
Scope of the Article: Simulation Optimization and Risk Management