| With the rapid development of satellite and radar technology,to satisfy both the military and civilian needs,the design and fabrication of the space-based and space-based radar with faster and more flexible beam scanning capacities has become an important research direction.In the field of antenna synthetic,the existing comprehensive mathematical models are mostly highly targeted and no universal model has been brought to the light up to now.In view of the above problem,this thesis aimed at designing a set of optimization model,and proposing a problem-solving scheme based on intelligent algorithm,the concrete research content is as follows:(1)Three optimization models are designed for both cases where the expected beam pattern is known and unknown.Two schemes,function series fitting method and ‘envelope' method,are designed to construct the optimal model for the known beam pattern scenario.While the optimization model with the objective function consisted of the target characteristic is established for the second condition.(2)The Genetic Algorithm(GA),Particle Swarm Optimization(PSO)algorithm and their improved algorithm are studied.Elitist strategy,niche selection and pseudo-parallel model are introduced to the classic GA with the merits discussed.The particle release and speed limit model of PSO algorithm is illustrated.On the basis of the sets of feasible engineering optimization methods put forward,the advantages of these method are proved by numerical examples.(3)The optimization models and schemes proposed,adopting the improved algorithms based on genetic algorithm and particle swarm algorithm respectively,are implemented to the beam construction optimization problem of an actual space-based multi-beam radar.In satisfying the beam pattern synthetic characteristics,the optimization of the excitation coefficients of the reflector antenna is realized.After that,the feasibility and optimization results of different schemes are compared. |
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