一种应用于强震信号的压缩感知测量矩阵设计  

Design of A Compressed Sensing Measurement Matrix for Strong Earthquake Signals

作　　者：丁宁 DING Ning(Institute of Seismology,China Earthquake Administration,Wuhan 430071,China)

机构地区：[1]中国地震局地震研究所,湖北武汉430071

出　　处：《软件导刊》2023年第3期157-161,共5页Software Guide

摘　　要：地震监测预警系统中采用压缩感知技术可极大地减少资源占用。测量矩阵是压缩感知技术实现的关键一步,同时影响着硬件实现方式和信号重构效果,因此构造一种易于硬件实现且重构效果好的测量矩阵是必要的。针对随机性测量矩阵的重构不确定性以及硬件实现复杂的问题,设计一种应用于强震信号的压缩感知测量矩阵,该测量矩阵由改进的Logistic混沌系统映射的Logistic混沌伪随机序列构造。设计的Logistic混沌序列测量矩阵满足信号重构条件,仿真结果表明,与随机性测量矩阵相比,该测量矩阵的重构误差值降低,耗时减少,消除了重构不确定性且易于硬件物理实现,具有较高的实用价值。The use of compressed sensing technology in earthquake monitoring and early warning system can greatly reduce the resource occupation.The measurement matrix is a key step in compressed sensing technology,and affects the hardware implementation mode and signal reconstruction effect.Therefore,it is necessary to construct a measurement matrix which is easy to be realized by hardware and has good reconstruction effect.Aiming at the reconstruction uncertainty of randomness measurement matrix and the complexity of hardware implementation,a compressed sensing measurement matrix applied to strong earthquake signals is proposed.The measurement matrix is constructed by the Logistic chaotic pseudo-random sequence mapped by the improved Logistic chaotic system.The proposed Logistic chaotic sequence measurement matrix meets the signal reconstruction conditions,and compared with the random measurement matrix,the simulation results show that the reconstruction error value of the measurement matrix is reduced,the time consumption is reduced,the reconstruction uncertainty is eliminated,and it is easy to be realized by hardware physics,so it has strong practical value.

关 键 词：地震监测预警 压缩感知 测量矩阵 混沌系统 强震信号 

分 类 号：TN911.7[电子电信—通信与信息系统]