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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xu, Jianmin Wang, Yufeng |
| Copyright Year | 2011 |
| Abstract | The empirical mode decomposition (EMD) method for analysing nonlinear and non-stationary data has attracted great research interests. Because, the IR-UWB signal which has the property of transient and low probability of intercept (LPI) is non-stationary, in this paper, the EMD method is used to extract the weak impulse radio signal from noisy environment. The noisy timing hopping (TH) binary pulse amplitude modulation (PAM) UWB signals are decomposed into a finite number of oscillatory modes known as intrinsic mode functions (IMFs) and a residue. Based on different time scale characteristic of the signal and noise, a majority of noise will be removed from signal by proper selection of IMFs. Simulations have demonstrated that an efficient elimination of noise on UWB signal and a great improvement on Bit error rate (BER) are achieved. |
| Starting Page | 1 |
| Ending Page | 3 |
| File Size | 269018 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424462506 |
| ISSN | 21619654 |
| e-ISBN | 9781424462520 |
| DOI | 10.1109/wicom.2011.6036669 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bit error rate Noise reduction Ultra wideband communication Time frequency analysis Noise measurement Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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