摘要
考虑到井下应急救灾的需要,设计了一种基于压缩感知和无线传感器网络(WSNs)的矿井应急语音通信系统。根据语音信号的稀疏性,采用压缩感知的方法,对语音信号进行随机采样并传输,在Sink接收端,分别利用OMP算法和Co Sa MP算法进行信号重构,对比仿真实验表明:Co Sa MP重构效果较好。考虑到井下无线信号传输受限,进行了井下无线通信实验,表明在通信距离为20 m情况下,可实时可靠地实现井下应急语音通信。
In view of current status of emergency relief in coal mine,an emergency voice communication system based on compressive sensing and WSNs is designed. According to sparse characteristic of voice signal,method of compressive sensing is adopted for voice signal random sampling and transmission. In receiving end of Sink,OMP algorithm and Co Sa MP algorithm are used for signal reconstruction respectively. The simulation experiment shows that Co Sa MP is better than OMP. Considering the transmission of wireless signal is limited,underground wireless communication experiment is conducted,it shows that in the cases of communication distance is 20 m; emergency voice communication in coalmine can be realized in real time and reliably.
出处
《传感器与微系统》
CSCD
2015年第12期108-110,114,共4页
Transducer and Microsystem Technologies
基金
国家科技支撑计划资助项目(2013BAK06B05)
安徽省自然科学基金资助项目(1308085MF105)
安徽省国际科技合作计划项目(10080703003)
安徽省第七批"115"产业创新团队项目
安徽省高校自然科学研究重点项目(KJ2013A237)
安徽省校企合作实践基地项目
