基于StOMP算法的WSN压缩感知数据重构
分段正交匹配追踪算法（StOMP）运算速度快、计算量小,适用于无线传感器网络（WSN）压缩感知数据重构。为此,分析并研究StOMP算法的门限阈值选取对WSN压缩感知数据重构精度的影响,提出一种StOMP算法门限阈值的自适应调整方法。基于比例-积分-微分方法的思想,根据StOMP算法的当次重构误差计算门限阈值的调整值,并使用调整后的门限阈值重新进行数据重构,重复该过程以提高重构精度。实验结果表明,该方法能快速找到满足误差要求的门限阈值,与采用固定门限阈值的调整方法相比,重构精度更高。...
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| Published in | 计算机工程 Vol. 43; no. 9; pp. 149 - 155 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
北京工业大学软件学院,北京100124
2017
北京市物联网软件与系统工程技术研究中心,北京100124%北京交通大学电子信息工程学院先进控制系统研究所,北京,100044 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1000-3428 |
| DOI | 10.3969/j.issn.1000-3428.2017.09.027 |
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| Summary: | 分段正交匹配追踪算法（StOMP）运算速度快、计算量小,适用于无线传感器网络（WSN）压缩感知数据重构。为此,分析并研究StOMP算法的门限阈值选取对WSN压缩感知数据重构精度的影响,提出一种StOMP算法门限阈值的自适应调整方法。基于比例-积分-微分方法的思想,根据StOMP算法的当次重构误差计算门限阈值的调整值,并使用调整后的门限阈值重新进行数据重构,重复该过程以提高重构精度。实验结果表明,该方法能快速找到满足误差要求的门限阈值,与采用固定门限阈值的调整方法相比,重构精度更高。 |
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| Bibliography: | Wireless Sensor Network（WSN）;Compressed Sensing（CS）;data reconstruction;Stagewise Orthogonal Matching Pursuit（StOMP） algorithm;Proportional-Integral-Derivative（PID） method 31-1289/TP HUANG Zhiqing;ZHANG Yanxin;LI Mengjia;CHENG Zhipeng;School of Software,Beijing University of Technology;Beijing Engineering Research Center for IoT Software and Systems;Advanced Control Systems Laboratory,School of Electronic and Information Engineering,Beijing Jiaotong University 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 thres |
| ISSN: | 1000-3428 |
| DOI: | 10.3969/j.issn.1000-3428.2017.09.027 |