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| 基于随机共振的嵌入式检测系统 | |
| 引用本文： | 王贵磊,韩晓军,陶志军,郝研,王太勇.基于随机共振的嵌入式检测系统[J].天津工业大学学报,2010,29(5). |
| 作者姓名： | 王贵磊 韩晓军 陶志军 郝研 王太勇 |
| 作者单位： | 1. 天津工业大学,信息与通信工程学院,天津,300160 2. 中国汽车技术研究中心,天津,300162 3. 天津大学精密仪器与光电子工程学院,天津,300072 |
| 基金项目： | 国家自然科学基金，国家科技重大专项 |
| 摘 要： | 针对机械振动信号中低频小信号不易检测的问题,设计开发了一套基于随机共振理论的嵌入式检测系统.硬件采用"DSP+ARM"的双CPU结构,软件应用Linux操作系统,使系统性能更加稳定.文中给出了仿真结果,验证了系统可以有效地抑制噪声的影响和准确地提取低频微弱信号. |
| 关 键 词： | 随机共振 嵌入式检测系统 双CPU |
Embedded detection system based on stochastic resonance |
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| WANG Gui-lei,HAN Xiao-jun,HAO Yan,WANG Tai-yong.Embedded detection system based on stochastic resonance[J].Journal of Tianjin Polytechnic University,2010,29(5). | |
| Authors: | WANG Gui-lei HAN Xiao-jun HAO Yan WANG Tai-yong |
| Affiliation: | WANG Gui-lei1,HAN Xiao-jun1,HAO Yan2,WANG Tai-yong2(1.School of Information and Communication Engineering,Tianjin Polytechnic University,Tianjin 300160,China,2.China Automotive Technology and Research Center,Tianjin 300162,3.College of Precision Instrument and Opto-elec-tronics Engineering,Tianjin University,Tianjin 300072,China) |
| Abstract: | An embedded detection system based on stochastic resonance was developed to solve the problem that low-frequency weak signal was difficult to be detected in mechanical vibration.More stable performance of the system was achieved by the use of DSP + ARM dual-CPU structure as the hardware and Linux operating system as the software.The simulated results show that the system can suppress the impact of mechanical noise effectively and obtain low-frequency weak signal accurately. |
| Keywords: | Linux |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |