摘要
针对远程核辐射数据网络采集时,由于远程核辐射数据信号的稀疏性,使得采集区域的信号无法形成报警关联,存在漏报的问题。提出基于压缩感知的网络远程核辐射数据采集方法。采用小波去噪方法对网络远程核辐射原始信号数据进行去噪处理,选取与去噪后的核辐射信号相匹配的稀疏基,增加信号的稀疏性,获得网络远程核辐射信号的随机观测矩阵,将观测值输送至上位机,获取网络远程核辐射数据观测信号,在对核辐射数据观测信号进行随机采样,计算信号的测量矩阵与稀疏矩阵,对核辐射信号数据进行重构使其达到最小值,完成数据的采集。仿真结果证明,采用改进的方法进行网络远程核辐射数据采集,重构误差较小,能够满足网络远程核辐射数据采集的应用需求。
A data collection method based on compression perception is proposed. Firstly, the original signal is de - noised by using the wavelet de - noising method. The sparse matrix matched with the de - noising signal is se- lected to add sparseness of the signal. Then the random observation matrix of the signal is acquired. The observation signal is also gained through carrying observed value to the upper computer. The signal is sampled randomly to calcu- late the measuring matrix and sparse matrix. Finally the signal is reconstituted to its minimum value and finished the collection. Simulation results show that the reconstruction error is small by using the modified method. It can meet the application requirements of data collection in network remote radiation.
出处
《计算机仿真》
CSCD
北大核心
2016年第6期274-277,共4页
Computer Simulation
基金
河南省教育厅河南省信息技术教育研究项目(ITE12071)
关键词
网络
远程核辐射
数据采集
Network
Remote radiation
Data acquisition
