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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yajun Wang Wen Chen Tellambura, C. |
| Copyright Year | 1997 |
| Abstract | The partial transmit sequence (PTS) technique has received much attention in reducing the high peak to average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, the PTS technique requires an exhaustive search of all combinations of the allowed phase factors, and the search complexity increases exponentially with the number of sub-blocks. In this paper, a novel method based on parametric minimum cross entropy (PMCE) is proposed to search the optimal combination of phase factors. The PMCE algorithm not only reduces the PAPR significantly, but also decreases the computational complexity. The simulation results show that it achieves more or less the same PAPR reduction as that of exhaustive search. |
| File Size | 263059 |
| File Format | |
| ISSN | 10897798 |
| Volume Number | 14 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Peak to average power ratio Entropy Partial transmit sequences Quadrature amplitude modulation Computational complexity Computational modeling Phase modulation Amplitude modulation OFDM modulation Phase shift keying PTS, PAPR, OFDM, PMCE |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications |
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