| 基于压缩传感的PSO-OMP重构算法的研究 |
| |
| 引用本文： | 王红云,王鹏,张楠,白艳萍.基于压缩传感的PSO-OMP重构算法的研究[J].火力与指挥控制,2017,42(9). |
| |
| 作者姓名： | 王红云 王鹏 张楠 白艳萍 |
| |
| 作者单位： | 中北大学理学院,太原,030051 |
| |
| 基金项目： | 国家自然科学基金，山西省回国留学人员科研基金资助项目 |
| |
| 摘 要： | 由于粒子群算法具有解决寻优问题的能力,将其应用于信号处理领域,提出了一种新的基于PSO-OMP的信号重构算法。为了降低计算复杂度,把粒子群算法运用在正交匹配追踪算法的匹配过程,以此来确定最优原子。实验结果表明,所提出的新的基于PSO-OMP的信号重构算法具有计算复杂度低和重构成功概率高等特点。
|
| 关 键 词： | 压缩传感 重构算法 正交匹配追踪算法 粒子群算法 |
PSO-OMP Reconstruction Algorithm Based on Compressed Sensing |
| |
| WANG Hong-yun,WANG Peng,ZHANG Nan,BAI Yan-ping.PSO-OMP Reconstruction Algorithm Based on Compressed Sensing[J].Fire Control & Command Control,2017,42(9). |
| |
| Authors: | WANG Hong-yun WANG Peng ZHANG Nan BAI Yan-ping |
| |
| Abstract: | Because the particle swarm algorithm has the ability to solve the problem of optimization,applied to the field of signal processing,this paper proposes a new signal reconstruction algorithm based on PSO-OMP. In order to reduce the computational complexity,the particle swarm algorithm is used in matching process of orthogonal matching pursuit algorithm,in order to determine the optimal atom. The experimental results show that the proposed new signal reconstruction based on PSO-OMP algorithm has low computing complexity and reconstruct high success probability. |
| |
| Keywords: | compressed sensing reconstruction algorithm orthogonal matching pursuit algorithm particle swarm optimization algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
