计算机工程2017，Vol.43Issue(9)：149-155,7.DOI:10.3969/j.issn.1000-3428.2017.09.027
基于StOMP算法的WSN压缩感知数据重构
WSN Compressed Sensing Data Reconstruction Based on StOMP Algorithm
摘要
Abstract
Stagewise Orthogonal Matching Pursuit(StOMP algorithm has rapid computing speed and small amount of calculation quantity,and is thus highly suited to the reconstruction of Wireless Sensor Network (WSN) Compressed Sensing (CS) data.The influence of threshold selection of StOMP algorithm on the reconstruction accuracy of CS data in WSN is analyzed and studied.And this paper proposes an adaptive adjustment method of threshold value in the StOMP algorithm.Based on the idea of Proportional-Integral-Derivative (PID) method,the adjustment value of the threshold is calculated according to the reconstruction error.Reconstruct the data with the new threshold,and this process is repeated to improve the accuracy of reconstruction.Experimental result shows that this method can quickly find the threshold value which meets the error requirement and has distinctly improved reconstruction precision compared with the adjustment method of fixed threshold value.关键词
无线传感器网络/压缩感知/数据重构/分段正交匹配追踪算法/比例-积分-微分方法Key words
Wireless Sensor Network (WSN)/Compressed Sensing (CS)/data reconstruction/Stagewise Orthogonal Matching Pursuit(StOMP) algorithm/Proportional-Integral-Derivative(PID) method分类
信息技术与安全科学引用本文复制引用
黄志清,张严心,李梦佳,成志鹏..基于StOMP算法的WSN压缩感知数据重构[J].计算机工程,2017,43(9):149-155,7.基金项目
国家发改委项目(Q5025001201502) （Q5025001201502）
中央高校基本科研业务费专项资金(W16JB00340). （W16JB00340）
