计算机与现代化Issue(12)：23-27,5.DOI:10.3969/j.issn.1006-2475.2017.12.005
基于离散鸡群压缩感知的WSNs多目标定位
Multiple Target Localizationin WSNs via CS Reconstruction Method Based on Discrete CSO Algorithm
董袁泉 1王浩2
作者信息
- 1. 沙洲职业工学院,江苏张家港215600
- 2. 苏州大学,江苏苏州215006
- 折叠
摘要
Abstract
The multiple target localization problem of WSNs is studied,and a multiple target localization method based on discrete chicken swarm optimization (DCSO) and compressed sensing (CS) theory is proposed.Firstly,some definitions related to DCSO algorithm arc given,and the discrete chicken coding method and the iterative evolution strategy are designed.Based on this,a WSNs application model based on CS is established,and the measurement matrix and sparse matrix are chosen.Finally,the DCSO is applied to the CS sparse signal reconstruction algorithm,which realizes unknown sparsity multi-objective information reconstruction.The simulation results show that,compared with OMP and MLE,this method has better effect in multiple target locating precision.关键词
无线传感器网络/多目标定位/离散鸡群优化算法/压缩感知/定位精度Key words
wireless sensor networks/multiple target localization/discrete chicken swarm optimization/compressed sensing/positioning precision分类
信息技术与安全科学引用本文复制引用
董袁泉,王浩..基于离散鸡群压缩感知的WSNs多目标定位[J].计算机与现代化,2017,(12):23-27,5.
