基于分布式压缩感知重构算法的应用

摘要

针对无线传感器网络通信功耗大、导致节点寿命短的问题,引入压缩感知算法进行数据压缩,减小传输数据量、降低通信能耗.通过对无线传感器网络的分布式信号进行分析,提出了针对分布式压缩感知联合稀疏模型1的正交匹配追踪法的改进算法,减少重构算法计算量,使其适用于无线传感器网络.文中把改进算法用于处理温室大棚中所检测的温度信息,并进行性能分析.实验结果验证了理论分析结论,在保证复原信号精确度的前提下减少了计算量.%This research has taken aim at compressive sensing application to monitor environment using wireless sensor network. It analyzed the signals of wireless sensor network. On the basis of our previous work, this paper propose the improved algorithm of the orthogonal matching pursuit method which aim at joint sparse model one of distributed compressive sensing. This paper do experiments and performance analysis for the improved algorithm. Experiment results verify the theoretical conclusions. The improved algorithm reduces the computation on condition that ensuring of the accuracy of the signal recovery.