Abstract
In array pattern synthesis, it is often designed to achieve the desired radiation pattern. In this paper, real-coded genetic algorithm (RGA) optimization method is presented to optimize the value of weights of each antenna element to minimize side lobe level of the uniform spaced linear array geometries with a certain main beam width. The optimization program is done by using MATLAB. It compared with the conventional analytical methods such as Chebyshev and Taylor through radiation patterns with different number of elements and intervals of each element. The simulation results show that the optimization results are of little difference when d ≥ λ/2, but GA can get a more optimal result when d < λ/2. The application of genetic algorithm for pattern synthesis is found to be useful.
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Zhang, Z., Li, T., Yuan, F., Yin, L. (2014). Synthesis of Linear Antenna Array Using Genetic Algorithm to Control Side Lobe Level. In: Wong, W.E., Zhu, T. (eds) Computer Engineering and Networking. Lecture Notes in Electrical Engineering, vol 277. Springer, Cham. https://doi.org/10.1007/978-3-319-01766-2_5
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DOI: https://doi.org/10.1007/978-3-319-01766-2_5
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