传感技术学报Issue(5)：723-728,6.DOI:10.3969/j.issn.1004-1699.2015.05.019
可调分辨率的水下传感器网络压缩感知重构算法∗
Compressed Sensing Recovery Algorithm with Adjustable Resolution for Underwater Sensor Networks
摘要
Abstract
Considering the characteristics in the process of information collection in underwater sensor networks and the restricted requirements of compressed sensing theory,the compressed sensing recovery algorithm with adjustable resolution for underwater sensor networks is proposed in this paper. Firstly,the Sink node computes the reconstruct resolution according to the dimension of the random observed vector and the strategy for adjusting resolution. And then,the random observed vector will be processed,and the observed matrix will be constructed according to the re-construct resolution and the location information of the node data. Finally,the information of observed area will be reconstructed by compressed sensing recovery algorithm. Simulation results show that the proposed method can im-prove the reconstruct accuracy in a small sensing probability.关键词
水下传感器网络/压缩感知/重构精度/重构分辨率Key words
underwater sensor networks/compressed sensing/reconstruct accuracy/reconstruct resolution分类
信息技术与安全科学引用本文复制引用
赵文强,胡滨,康文静,刘功亮..可调分辨率的水下传感器网络压缩感知重构算法∗[J].传感技术学报,2015,(5):723-728,6.基金项目
国家自然科学基金项目(61371100) （61371100）
山东省优秀中青年科学家科研奖励基金项目(BS2012DX001) （BS2012DX001）
哈尔滨工业大学科研创新基金项目(HIT.NSRIF.2013136) （HIT.NSRIF.2013136）
