| 崔琳,张熠鑫.改进鸡群优化算法的二维MUSIC谱峰搜索研究[J].电子测量与仪器学报,2020,34(3):142-148 |
| 改进鸡群优化算法的二维MUSIC谱峰搜索研究 |
| Research on spectral peak searching of two dimensional MUSIC based on improved chicken swarm optimization algorithm |
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| DOI： |
| 中文关键词: 二维多重信号分类算法 谱峰搜索 改进鸡群算法 佳点集 惯性权值 |
| 英文关键词:two-dimensional MUSIC algorithm spectral peak searching improved chicken swarm optimization algorithm good point set inertia weight |
| 基金项目:国家自然科学基金青年项目(61901347)、陕西省教育厅科研计划项目(18JK0342)、西安工程大学博士科研启动基金项目(BS1414)资助 |
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| 中文摘要: |
| 针对二维多重信号分类(MUSIC)算法在谱峰搜索时运算复杂，实时性差的问题，提出一种改进鸡群算法的二维MUSIC谱峰搜索算法。该算法将改进鸡群算法应用于谱峰搜索部分，首先利用佳点集理论构造初始种群；其次由寻食速度因子和聚集度因子构成惯性权值函数；最终将惯性权值引入母鸡的位置更新公式中，使算法快速搜索出谱峰所对应的角度。结果显示，该算法以更低的时间复杂度获得与网格搜索法相同的搜索精度，时间复杂度降低了648倍，节约994%的搜索时长，与其他3种优化算法相比，具有更优的收敛性能和更高的搜索精度。 |
| 英文摘要: |
| Aiming at the problems of complex calculation and poor real time performance of two dimensional MUSIC algorithm when searching for the spectral peaks, a two dimensional MUSIC spectral peak searching algorithm is proposed based on improved chicken swarm optimization (ICSO). This algorithm applies the ICSO to the spectral peak searching part. Firstly, the initial population is constructed by the theory of good point set. Secondly, the inertia weight function is composed of the feeding speed factor and the aggregation degree factor. Finally, the inertia weight is introduced into the position updating formula of the hen to make the algorithm quickly search the angle corresponding to the spectral peak. The results show that the proposed algorithm achieves the same searching accuracy as grid search method with lower time complexity. The time complexity is reduced by 648 times and the searching time is saved by 994%. Compared with the other three optimization algorithms, it has better convergence performance and higher searching precision. |
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