Radar Array And Pattern Optimization Design Based On Scene Requirements

With the rapid development of radar technology,more and more radar applications are used in military and civil fields.In different environments,the design of array radar should consider the continuous improvement of different radar scene requirements.The optimization design of radar array and pattern based on scene requirements has become the focus of research.For several different scenarios,such as sparse requirement,precise response requirement,robustness requirement,etc.,how to design a reasonable array structure distribution and find the optimal weight vector coefficient to achieve the target of radar array pattern parameters or synthesize a specific pattern form is the core issue of this paper.The main contents and work of this paper are as follows:1.The pattern model of any array is established.For the common uniform linear array,the simulation of different number of elements is carried out,and the relationship between pattern and array structure is observed.Several common radar scene requirements are introduced.2.The thinned array and sparse array are optimized by genetic algorithm.Firstly,the coding method is determined according to the array structure,and the optimization model is established according to the constraints and optimization objectives.Then the appropriate genetic operators are designed for different array structures.The rationality of the operator and the effectiveness of the genetic algorithm are observed through the simulation results.Finally,thinned array structure optimization and sparse array structure optimization are carried out for the radar array with multi-directional requirements.3.In view of the limitation of the structural optimization with fixed array position or space,the weight vector coefficient optimization method is studied based on the pattern optimization problem.Based on the adaptive theory,this paper introduces a precise control pattern method.Based on this method,another optimal precise control method is developed when the gain of radar array is considered.Aiming at the efficiency of the above two methods,the multi-point precise control method is extended.For the requirements of different shapes or performance indicators,the above three algorithms are used for simulation,and the relevant conclusions are obtained by comparing and analyzing the simulation results.4.The problem of pattern optimization with disturbance is studied,and two robust methods of pattern optimization are studied.The first is pattern optimization based on LCMV.The second method is based on the orthogonal decomposition theory.The desired pattern is adjusted by analyzing the upper and lower bound levels of the pattern with disturbance,and the robust pattern control is achieved by updating the weight vector through iteration.Finally,the radar array under three kinds of disturbances is simulated and the results are analyzed.