Antenna Array Pattern Synthesis Based On Coyote Optimization Algorithm

Array synthesis is an important research direction in array processing.As the crucial technology of array antenna,array synthesis based on null control can make the main beam aim at the received signal,and produce null steering in the interference direction to achieve interference suppression.With the rapid development of radio technology,array synthesis based on null control is more and more widely used in radar system,wireless communication and satellite remote sensing.Therefore,array synthesis based on null control has important research significance.It has always been one of the core technologies researched in the industry to appropriately adjust the phase,amplitude and element position of the array according to the signal and interference at different directions.In this paper,the coyote optimization algorithm(COA)is improved to solve the problem of array synthesis based on null control in linear array and rectangular plane array,and the simulation experiments are carried out under different control parameters in array antenna synthesis.The main works are as follows.Firstly,aiming at the problems that the COA tends to fall into the local optimum and the convergence speed is slow,according to the advantages of the chaotic sequence and the characteristics of the COA,the suboptimal individual variation strategy and the global optimal intra-group guidance strategy are proposed to obtain an improved coyote optimization algorithm(ICOA).The test function in the CEC2015 test set is selected to prove the superiority of the ICOA.Finally,several sets of simulation experiments are used to prove the feasibility and superiority of the proposed algorithm in the linear array antenna pattern synthesis.Secondly,to improve the interference rejection performance of linear array,the ICOA is applied to the linear array synthesis with null steering.Aiming at the narrow-null control problem of linear array synthesis,the antenna element position and phase are optimized,and the expected single point and multi-point null patterns are obtained.Aiming at the problem of broad-null pattern control for linear array synthesis,two cases of symmetrical and asymmetric array pattern are optimized.Symmetrical single width and multi width null patterns are obtained by controlling excitation,then asymmetric single width and multi width null patterns are obtained by controlling excitation and phase.Simulation results prove the effectiveness of the ICOA in linear array synthesis with null steering.Last,aiming at the problem of insufficient optimization accuracy of the COA in solving the relatively complex array antenna synthesis problem.The combination of Simplified Quadratic Interpolation(SQI)and ICOA can effectively improve the local search ability and the overall optimization accuracy of the algorithm.The excitation and element position of rectangular planar array are optimized,and the expected single point and multi-point null patterns are obtained.The simulation results prove the effectiveness of the proposed algorithm in rectangular planar array synthesis with null steering.