Research On Improved Genetic Algorithm In The Design Of Millimeter Wave Array Antenna

With the development of modern information war, low sidelobe antenna has become an important part of high performance electronic system, for the system to work effectively in a serious electromagnetic interference in the environment,must be used as low sidelobe antenna,low sidelobe can improve the signal-to-noise ratio, the influence .of clutter signal to reduce the main beam,can effectively improve the system anti-jamming capability, low or ultra low sidelobe antenna is a common requirement of high performance electronic system. In this paper,an improved genetic algorithm is proposed,based on the improved genetic algorithm to optimize the design of 1×16 and 8×8 Microstrip patch array antenna at the center frequency of 30GHz.Genetic algorithm is an adaptive global optimization search algorithm which simulates the genetic and evolutionary process of biological in the natural environment. Due to the rapid development of genetic algorithm theory, it has been widely used in practical applications.With the continuous application of genetic algorithm, the genetic algorithm appear the shortcomings of long search time, easy occurrence of premature, poor local search ability and so on. In order to make up for these shortcomings, the genetic algorithm is applied to a wide range of applications. The research workers have made a lot of improvement and Optimization on the classical genetic algorithm. The main research contents of this paper are as follows:1. study the process and the basic theory of classical genetic algorithm, the classical genetic algorithm is optimized in two aspects. On one hand, the real number encoding technology is adopted to reduce the decoding operation, directly to the solution of genetic operation, to speed up the search efficiency and search capability of the solution; On the other hand, the selection operation combines the advantages of tournament selection and optimal preservation strategy, the solution at the same time in the segment selection, crossover and mutation process using Logistic function to fit the probability of crossover and mutation, to suppress the side lobe antenna array, for optimizing the operation in the global scope.2. A millimeter wave band microstrip patch antenna is designed and simulated based on the principle of microstrip antenna, base on the antenna, designed 8×8 and 1×16 microstrip patch array antenna.3. Using the improved genetic algorithm, optimized the excitation amplitude of 1×16 microstrip patch array antenna to achieve antenna sidelobe suppression, compare the radiation patterns with which is obtained by using the Taylor and Chebyshev distribution, Verify the effectiveness of the improved genetic algorithm in antenna sidelobe suppression.4. According to the theory of finite element analysis, it is proved that Intrinsic excitation method is effective to solve the mutual coupling effect between 8×8 microstrip patch array antennas.5. Using the improved genetic algorithm, combined with the intrinsic excitation method, optimized the excitation amplitude of array element 8×8 microstrip patch array antenna to achieve antenna sidelobe suppression, changed the excitation phase, to achieve any angle of the beam.