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DOI: 10.14569/IJACSA.2016.070958
PDF

Peak-to-Average Power Ratio Reduction based Varied Phase for MIMO-OFDM Systems

Author 1: Lahcen Amhaimar
Author 2: Saida Ahyoud
Author 3: Adel Asselman
Author 4: Elkhaldi Said

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 9, 2016.

  • Abstract and Keywords
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Abstract: One of the severe drawbacks of orthogonal fre-quency division multiplexing (OFDM) is high Peak-to-Average Power Ratio (PAPR) of transmitted OFDM signals. During modulation the sub-carriers are added together with same phase which increases the value of PAPR, leading to more interference and limits power efficiency of High Power Amplifier (HPA), it’s requires power amplifier’s (PAs) with large linear oper-ating ranges but such PAs are difficult to design and costly to manufacture. Therefore, to reduce PAPR various methods have been proposed. As a promising scheme, partial transmit sequences (PTS) provides an effective solution for PAPR reduction of OFDM signals. In this paper, we propose a PAPR reduction method for an OFDM system with variation of phases based on PTS schemes and Solid State Power Amplifiers (SSPA) of Saleh model in conjunction with digital predistortion (DPD), in order to improve the performance in terms of PAPR, the HPA linearity and for the sake of mitigating the in-band distortion and the spectrum regrowth. The simulation results show that the proposed algorithm can not only reduces the PAPR significantly, but also improves the out-of-band radiation and decreases the computational complexity.

Keywords: OFDM; MIMO; PAPR; PTS; HPA; GA

Lahcen Amhaimar, Saida Ahyoud, Adel Asselman and Elkhaldi Said. “Peak-to-Average Power Ratio Reduction based Varied Phase for MIMO-OFDM Systems”. International Journal of Advanced Computer Science and Applications (IJACSA) 7.9 (2016). http://dx.doi.org/10.14569/IJACSA.2016.070958

@article{Amhaimar2016,
title = {Peak-to-Average Power Ratio Reduction based Varied Phase for MIMO-OFDM Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070958},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070958},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {9},
author = {Lahcen Amhaimar and Saida Ahyoud and Adel Asselman and Elkhaldi Said}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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