焦俊;王强;范国华;王超;古冉;辜丽川;

• 1:安徽农业大学信息与计算机学院

摘要(Abstract)：

由于农田温度信息在离散余弦基(DCT)下的近似稀疏性,采用压缩感知(CS)技术对每块农田温度信息进行压缩和重构,即将温度信息投影到随机高斯观测矩阵,在接收端通过OMP算法重构出每块农田的温度信息。仿真试验结果表明,在较为稳定的网络环境中,CS算法能够以较少的观测值实现对原始信号的精确重建,降低节点能耗,延长网络生命周期。

关键词(KeyWords)： 压缩感知;离散余弦变换;正交匹配追踪算法;农田温度

Abstract:

Keywords:

基金项目(Foundation): 安徽省教育厅自然基金资助项目(KJ2014A074);安徽省教育厅质量工程项目(2014tszy090,2014jyxm091);; 安徽农业大学博士启动基金资助项目

作者(Author): 焦俊;王强;范国华;王超;古冉;辜丽川;

Email:

DOI: 10.13989/j.cnki.0517-6611.2015.29.119

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