Peak-to-Average Power Ratio Reduction based Varied Phase for MIMO-OFDM Systems
Autor: | Elkhaldi Said, Saida Ahyoud, Lahcen Amhaimar, Adel Asselman |
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Rok vydání: | 2016 |
Předmět: |
General Computer Science
Orthogonal frequency-division multiplexing Computer science business.industry Amplifier 05 social sciences MIMO Solid-state Linearity 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology MIMO-OFDM Interference (wave propagation) Predistortion Reduction (complexity) 0508 media and communications Modulation 0202 electrical engineering electronic engineering information engineering Electronic engineering Telecommunications business Electrical efficiency |
Zdroj: | International Journal of Advanced Computer Science and Applications. 7 |
ISSN: | 2156-5570 2158-107X |
Popis: | 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. |
Databáze: | OpenAIRE |
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