Abstract
The high side lobe level is a serious problem for the circular array pattern. In order to solve this problem, a new method for the pattern synthesis of circular array is proposed in this paper. It makes the location of the array element and the coefficient as joint variables for its optimization model based on the niche genetic algorithm, which can overcome the shortcomings of premature and bad local searching capability existing in simple genetic algorithm. This approach can not only enhance the variables freedom degree but also accord with the academic global optimization. A measure is proposed to alleviate the dependence of convergence on the initial population, in which two reproduction operations of different types are alternatively used in generating chromosomes. The simulation results show the efficiency of this method.
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Fei, Y., Ming, Z., Rui, H.Z., Zhi, Z. (2013). Joint Optimization About Pattern Synthesis of Circular Arrays Based on the Niche Genetic Algorithm. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_18
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DOI: https://doi.org/10.1007/978-1-4614-7010-6_18
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