雷达科学与技术2013，Vol.11Issue(3)：290-294,301,6.DOI:10.3969/j.issn.1672-2337.2013.03.013
低峰值旁瓣电平稀布阵综合算法研究
Study on Sparse Arrays Synthesis with Low Peak Side-Lobe Level
潘妍妍 1邓维波2
作者信息
- 1. 中国电子科技集团公司第三十八研究所,安徽合肥230088
- 2. 哈尔滨工业大学电子工程技术研究所,黑龙江哈尔滨150001
- 折叠
摘要
Abstract
To resolve the problem of high peak side-lobe level(PSLL) of sparse array,this paper analyzes and compares the feasibilities of particle swarm optimization and three kinds of genetic algorithms which are adopted to optimize the position of sparse array elements through determination of the symmetry of sparse array,the parity of element number of sparse arrays,and the existence of grating lobe.Additionally,the influences of the number of sparse array elements,the aperture,and the minimum distance on PSLL are analyzed.The article proposes an idea to decrease PSLL further by introducing the improved Hamming window into the fitness function.关键词
稀布阵/遗传算法/粒子群算法/峰值旁瓣电平/栅瓣Key words
sparse array/ genetic algorithm/ particle swarm optimization/ peak side-lobe level(PSLL)/grating lobe分类
信息技术与安全科学引用本文复制引用
潘妍妍,邓维波..低峰值旁瓣电平稀布阵综合算法研究[J].雷达科学与技术,2013,11(3):290-294,301,6.
