融合压缩感知和LZW编码的电力数据压缩算法  

Power data compression algorithm combining compression sensing and LZW coding

作　　者：谢宇杰 陈志聪 吴丽君 XIE Yujie;CHEN Zhicong;WU Lijun(Institute of Micro-Nano Devices and Solar Cells,College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学物理与信息工程学院微纳器件与太阳能电池研究所,福州350108

出　　处：《智能计算机与应用》2024年第1期124-129,共6页Intelligent Computer and Applications

摘　　要：为了减少电力信号传输时的数据量,本文提出了一种融合压缩感知和LZW编码的电力数据压缩算法,在保证重构精度不变的条件下对电力数据进行进一步的压缩,提高了整体的压缩率。首先,对压缩感知的各种观测矩阵进行仿真分析;其次,选择使用稀疏随机矩阵作为本文的观测矩阵,提出了一种能够快速完成压缩感知计算的硬件实现方法,并完成了硬件的设计和验证。实验表明,本设计在FPGA器件上的工作频率最高可达200 MHz;整个数据压缩过程的总延时约为16.11μs;在重构误差约为4.83%时,数据压缩率约为36.83%,比仅使用压缩感知提升了约13.17%。In order to reduce the amount of data during power signal transmission,this paper proposes a power data compression algorithm that integrates compressive sensing and LZW encoding.It further compresses the power data while ensuring the same reconstruction accuracy,thereby improving the overall compression rate.Firstly,simulate and analyze various observation matrices of compressed sensing;Secondly,we chose to use sparse random matrices as the observation matrix in this paper,proposed a hardware implementation method that can quickly complete compressive sensing calculations,and completed the hardware design and verification.Experiments show that the maximum operating frequency of FPGA can reach 200 MHz,and the total delay of the entire data compression process is about 16.11μs.When the reconstruction error is about 4.83%,the data compression rate is about 36.83%,which is about 13.17%higher than that of using compressed sensing only.

关 键 词：电力信号 压缩感知 LZW编码 

分 类 号：TN919.5[电子电信—通信与信息系统]