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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ali, A. Al-Zahrani, A. Al-Naffouri, T.Y. Naguib, A. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. Eng., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia (Al-Zahrani, A.) || Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner. (KFUPM), Dhahran, Saudi Arabia (Ali, A.; Al-Naffouri, T.Y.) || Qualcomm Res. Silicon Valley, Santa Clara, CA, USA (Naguib, A.) |
| Abstract | High peak-to-average power ratio is one of the major drawbacks of orthogonal frequency division multiplexing (OFDM). Clipping is the simplest peak reduction scheme, however, it requires clipping mitigation at the receiver. Recently compressed sensing has been used for clipping mitigation (by exploiting the sparse nature of clipping signal). However, clipping estimation in multi-user scenario (i.e., OFDMA) is not straightforward as clipping distortions overlap in frequency domain and one cannot distinguish between distortions from different users. In this work, a collaborative clipping removal strategy is proposed based on joint estimation of the clipping distortions from all users. Further, an effective data aided channel estimation strategy for clipped OFDM is also outlined. Simulation results are presented to justify the effectiveness of the proposed schemes. |
| Sponsorship | IEEE Signal Process. Soc. |
| Starting Page | 8087 |
| Ending Page | 8091 |
| File Size | 135490 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479928934 |
| DOI | 10.1109/ICASSP.2014.6855176 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-04 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vectors Peak to average power ratio Estimation Reliability Channel estimation Time-domain analysis OFDMA PAPR reduction clipping channel estimation compressed sensing |
| Content Type | Text |
| Resource Type | Article |
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