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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianmin Xu Yufeng Wang |
| Copyright Year | 2011 |
| Abstract | A novel technique of noise suppression based on singular value decomposition (SVD) algorithm for a UWB system with Time hopping (TH) and pulse amplitude modulation (PAM) are considered is presented in this paper,. According to the different correlation about UWB signals and Gaussian noises respectively, SVD is used to approximate the noises which then are subtracted from the received signals. Aiming at shortcomings of existing singular value truncation criterion, this paper use a new method to decide the threshold for SVD filter (SVDF), based on the value of signal to noise ratio (SNR). Simulations have demonstrated that an efficient elimination of noise on UWB signal and an improvement on Bit error rate (BER) are achieved by comparing our algorithm with the EMD method. |
| Starting Page | 1 |
| Ending Page | 3 |
| File Size | 247319 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424462506 |
| ISSN | 21619654 |
| e-ISBN | 9781424462520 |
| DOI | 10.1109/wicom.2011.6039963 |
| 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 | Algorithm design and analysis Bit error rate Signal processing algorithms Noise measurement Signal to noise ratio Singular value decomposition |
| Content Type | Text |
| Resource Type | Article |
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