Supervisor:
Southwest Ordnance Industry Bureau
Organizer:
Chongqing Ordnance Industry Society
Chongqing University of Technology
Chongqing University of Technology
Synthesis of linear sparse arrays using muli populations competition based differential evolution
| DOI: | 10.11809/bqzbgcxb2024.05.035 |
| Keywords: | antenna arrays; linear sparse arrays; peak side lobe level (PSLL); differential evolution (DE); muli populations competition |
| Abstract: | To reduce peak side lobe level when applying differential evolution to synthesis of linear sparse arrays, this paper proposes muli populations competition based differential evolution algorithm (MPCDE). First, it generates several subpopulations. Then, these subpopulations are evaluated according to some indexes learning from teaching quality evaluation. The evaluation scores determine the number of new individuals each subpopulation can generate. The higher the evaluation score, the more individuals the subpopulation can generate, reflecting the privilege of good subpopulations. Next, the privilege can spread to other subpopulations through information exchange, accelerating the convergence speed of the whole population. The behavioral analysis of subpopulation evaluation and information exchange demonstrates the algorithm containing the two operations performs best. Simulations of synthesis of linear sparse arrays demonstrate that MPCDE can reduce peak side lobe level of antenna arrays. |
| Published: | 2024-05-31 |