Research On Special Beam Subarray Based On Genetic Algorithm

With the advancement of technology in the field of wireless communication,the demand for singular beamforming of array antennas is also increasing.By introducing genetic algorithm optimization into the array design,most of the problems related to parameter tuning and beamforming are solved.Based on genetic algorithm,this thesis designs two antenna sub-arrays,the main contents include:1.Based on the genetic algorithm,a phase and distance optimization algorithm for subarrays is proposed,which realizes four special beams of equal sidelobe,zero-sag,flat top and cosecant of the subarray.The above results are compared with the traditional amplitude and phase optimization,and the effectiveness of the phase and distance optimization optimization is verified.In addition,a special patch antenna with beam shifting characteristics is designed and formed into an 8-element sub-array.On the premise of keeping the current amplitude of each unit equal,the spacing and relative phase of the antenna units are optimized,and a special beam with left and right asymmetry is obtained,the gain of+10^°of the main beam is 18d B higher than that of-10^°without affecting the gain requirement of the main radiation direction.2.A Broadband Pattern Reconfigurable Antenna Working in Ku-Band is Designed Using Genetic Algorithms.The antenna consists of four curved symmetric dipoles with directional radiation properties,a broadband balun feed,and a periodically loaded pixel structure above the antenna.A 2×2 sub-array is formed with this antenna,and the connection state of the pixel structure is optimized and adjusted by genetic algorithm.The sub-array can achieve wide-angle beam coverage with pitch angles ranging from 0^°to 55^°in four azimuth planes including 0^°,90^°,180^°,and 270^°,and the working bandwidth covers 13GHz to 17GHz.