首页|基于压缩感知的电力报装信息系统研究

基于压缩感知的电力报装信息系统研究

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随着用电业务的 日益增多,对系统网络性能的要求也逐渐提升,为了提升电力报装系统的传输效率,通过压缩感知(CS)提升无线网络单流数据传输能力.构建以CS为基础的网络单流传输模型,设计测量矩阵,提高其重建性能,通过仿真实验证明相关理论内容.实验结果证实,不管是在无噪声还是有噪声的环境中,其相比于大小相同的伯努利矩阵以及高斯矩阵,提出的矩阵具有更出色的重建性能.对于电力报装系统的传输效率的提升具有一定的参考意义.
Research on Power Installation Reporting Information System Based on Compressed Sensing
With the increasing number of power consumption services,the requirements for system network performance are gradually enhanced.In order to improve the transmission efficiency of power reporting and installation system,the single stream data transmission capacity of wireless network is improved through compressed sensing(CS).The network single stream transmission model based on CS is established.The reconstruction performance is improved by designing the measure-ment matrix.The theory is proved by simulation experiments.The experimental results confirm that whether in a noise-free or noisy environment,the proposed matrix exhibits superior reconstruction performance compared to equally sized Bernoulli and Gaussian matrices.This has a certain reference significance for the improvement of transmission efficiency of power transmis-sion system.

power installation reporting systemcompressed sensingsingle stream data transmissionGaussian matrixBer-noulli matrix

王岩、林树鸿、覃岩岩、朱大智

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海南电网有限责任公司信息通信分公司,海南,海口 570203

电力报装系统 压缩感知 单流数据传输 高斯矩阵 伯努利矩阵

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(5)