煤矿救援生命探测仪信号处理机的设计  

Design of Signal Processing Unit in Life-Detection System for Coal Mine Rescue

作　　者：张亚[1] 郭来功[1] 赵苍荣[1] 

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《测控技术》2014年第6期40-43,48,共5页Measurement & Control Technology

基　　金：安徽省高等学校省级优秀青年人才基金资助项目(2010SQRL055)

摘　　要：基于雷达的人体微动研究是近年发展起来的新技术。针对生命探测中多普勒频移信号提取,提出了采用小波变换对回波信号进行按频率分层,再对呼吸、心跳、体动等特征信号进行FFT分析的方法,给出了生命特征信号处理的算法流程。以ADSP-BF533、AD7723、FPGA为平台设计了信号处理机的硬件结构,并分析了系统的软件流程。实验结果表明,信号处理机能有效地剔除外界干扰信号,相对准确地给出生命特征信号。Human micro-motion study based on radar is a new technology developed in recent years.Aiming at the extraction of Doppler shift signals in life-detection,wavelet transformation is firstly used to separate the echo signals in frequency domain,and FFT is used to analyze each part of the separated signal such as breath,heartbeat and body-motion,and the algorithm flow of life signal processing is given.The hardware of the signal processing unit is designed by using ADSP-BF533,AD7723,FPGA,and the software flow is also analyzed.The experiment results indicate that the system can eliminate the external interference signals efficiently and figure out the life parameters accurately.

关 键 词：生命探测 小波变换 多普勒频移 ADSP-BF533 

分 类 号：TN957.51[电子电信—信号与信息处理]