| Autor: |
Jiang Wenqi, Zhang Huamei, Wang Xiangfu |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Dianzi Jishu Yingyong, Vol 49, Iss 4, Pp 68-72 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
0258-7998 |
| DOI: |
10.16157/j.issn.0258-7998.222999 |
| Popis: |
Aiming at the problem of high sidelobe in the pattern of general uniform planar array, the traditional genetic algorithm is used to arrange the uniform array in two-dimensional sparse distribution,which effectively reduces the sidelobe level, but the convergence speed of genetic algorithm is slow and easy to fall into local optimal solution. Because chaotic optimization algorithm has the characteristics of randomness, ergodicity and regularity, introducing chaotic optimization algorithm into genetic algorithm and initializing population by chaotic sequence can improve the convergence speed of genetic algorithm and the ability to obtain global optimal solution. Therefore, a genetic algorithm based on chaotic optimization algorithm is proposed and applied to the design of two-dimensional planar array antenna.The algorithm optimizes the layout of antenna array. The simulation results show that the convergence speed of chaotic genetic algorithm is improved and the sidelobe level of array antenna is further reduced,which shows that this method is feasible. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
