The Application Of Improved Mind Evolutionary Algorithm In Antenna Array Synthesis

With the rapid development of wireless communication technology, the number of mobile communication users and the data rate increase quickly. This demands more on resource utilization ratio of communication system. After several decades of discovery, the potential in time, frequency, and coding technology has been limited and is difficult to be improved further. In this case, smart antenna and multi-antenna technology have emerged as key technologies for various types of communication systems. Antenna array synthesis technology is a core of smart antenna.There have emerged quite a few classical methods and theories in the study of antenna array synthesis which provided a solid theoretical foundation for array antenna synthesis. But they also have some shortcomings unable to be overcome, such as the small scope of application and the complex computation. Evolutionary Algorithm is applied in antenna array synthesis more and more because of its unique advantages in dealing with non-linear, multi-parameter, non-differentiable and non-continuous problems. Chaotic Optimization Algorithm and Differential Evolutionary Algorithm are adopted to improve Mind Evolutionary Algorithm in this paper, so a new hybrid Chaotic Differential Mind Evolutionary Algorithm (CDMEA) is proposed and applied in antenna array synthesis. Specifically, the following sections are included:(1) Analyze the ergodicity of Logistic, Tent and improved Tent chaotic mapping. Use the improved Tent mapping to supervise the creation of the initial population. The initial populations scatter equally in the solution space.(2) Study and analyze DEA, introduce its mutation operation into the dissimilation operation of MEA. It can not only save the excellent genes of the evolution, but also increase the diversity of the population, avoiding local optimum.(3) Apply CDMEA into three kinds of problem in antenna array synthesis, and compare with the results gained by Genetic Algorithm. It indicates that CDMEA can gain better results in shorter time.(4) Analyze the advantages and disadvantages of sparse antenna array. It can obtain narrower main lobe with less element number, which greatly reduces the cost, but the relatively side lobe levels are higher. CDMEA is applied to optimize the side lobe levels of sparse antenna array. Experiment results indicate the optimized results gained by CDMEA are obviously better than GA. It attests that CDMEA is effective and practical in antenna array synthesis of sparse antenna array.