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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alsusa, E. Lin Yang |
| Copyright Year | 1991 |
| Abstract | High peak-to-average-power ratio (PAPR) is a particular disadvantage of orthogonal frequency-division multiplexing (OFDM) systems and can significantly degrade the power efficiency at the transmitter. The aim of this paper is to propose a post-inverse fast Fourier transform (IFFT) PAPR reduction method based on intelligent linear symbol combining with the objective to minimize the PAPR at the transmitter. Unlike the methods so far reported in the literature, the proposed method has a relatively low complexity and does not require external randomization sequences. This paper will also investigate the impact of the proposed method on the system's bit error rate (BER) performance and provide a closed-form analytical expression that takes into account the BER dependency on the side information bits and multiblock combination. It will be shown that the proposed technique can provide significant PAPR reductions at manageable levels of signal processing requirements while the BER degradation is relatively small. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 4844 |
| Ending Page | 4855 |
| Page Count | 12 |
| File Size | 1118381 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 56 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Time domain analysis Peak to average power ratio OFDM Bit error rate Degradation Transmitters Frequency division multiplexing Fast Fourier transforms Information analysis Performance analysis time- domain processing Orthogonal frequency-division multiplexing (OFDM) peak-to-average-power ratio (PAPR) reduction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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