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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Xiaopeng Li Ping Cao Zhiyu Xu Fengkai Meng Feifei |
| Copyright Year | 2010 |
| Description | Author affiliation: Laboratory for Mechatronic Engineering and Control, Beijing Institute of Technology, China (Yan Xiaopeng; Li Ping; Cao Zhiyu; Xu Fengkai; Meng Feifei) |
| Abstract | The radio fuze signal is always buried in the noise, so it is difficult to detect useful information. A new method based on the chaotic theory is introduced to detect the radio fuze signal buried in the strong noise. Starting from the analysis of the chaotic detection theory, we established the chaotic system of the radio fuze signal, analyzed the influence for chaotic system from the radio fuze signal, and put forward the chaotic detection method. Then, an exposition was made on why the chaotic system can be used to improve signal-to-noise ratio. Simulink results show the new method can detect radio fuze signal in the strong noise efficiently. |
| Starting Page | 183 |
| Ending Page | 186 |
| File Size | 980635 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479573 |
| e-ISBN | 9781424479580 |
| DOI | 10.1109/CMCE.2010.5610182 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Signal-to-noise ratio Duffing oscillator Radio fuze Noise measurement Denoising |
| Content Type | Text |
| Resource Type | Article |
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