Study on multi-frequency weak signal detection method based on stochastic resonance tuning by multi-scale noise |
| |
| Affiliation: | 1. College of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, PR China;2. College of Vehicles and Energy, Yanshan University, Qinhuangdao, Hebei 066004, PR China;1. State Key Laboratory for Manufacturing and Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, PR China;2. Shanghai Institute of Radio Equipment, Shanghai 200090, PR China;3. Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, PR China;1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2. National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;3. College of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;1. College of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230601, PR China;2. National Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei, Anhui 230601, PR China;3. Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, PR China |
| |
| Abstract: | In practical engineering applications, useful information is often submerged in strong noise and the feature information is difficult to be extracted. Aimed at the detection problem of multi-frequency signal under colored noise background, a novel weak signal detection method based on stochastic resonance (SR) tuning by multi-scale noise is proposed. Firstly, noisy signal is processed by orthogonal wavelet transform to decompose the signal into multi-scale ingredients. According to the orthogonal wavelet transform coefficients characteristics of 1/f distribution, multi-scale noise is constructed so as to make the frequency-band containing the driving frequency be enhanced through SR system. Thus multi-frequency weak signal is detected. The method is effective to detect multi-frequency weak signal under colored noise background. Experiment signal analysis results show that the proposed method is simple for multi-frequency weak signal detection, and has good prospects for engineering applications. |
| |
| Keywords: | Weak signal detection Stochastic resonance Orthogonal wavelet transform Multi-frequency Multi-scale noise |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
