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A Study on the PAPR Reduction Using Phase Rotation Method Applying Metaheuristic Algorithm  

Yoo, Sun-Yong (Dept. of Inform. & Telecom. Eng., Graduate School of Korea Aerospace University)
Park, Bee-Ho (Dept. of Inform. & Telecom. Eng., Graduate School of Korea Aerospace University)
Kim, Wan-Tae (Dept. of Inform. & Telecom. Eng., Graduate School of Korea Aerospace University)
Cho, Sung-Joon (Dept. of Inform. & Telecom. Eng., Graduate School of Korea Aerospace University)
Publication Information
Abstract
OFDM (Orthogonal Frequency Division Multiplexing) system is robust to frequency selective fading and narrowband interference in high-speed data communications. However, an OFDM signal consists of a number of independently modulated subcarriers and the superposition of these subcarriers causes a problem that can give a large PAPR(Peak-to-Average Power Ratio). Phase rotation method can reduce the PAPR without nonlinear distortion by multiplying phase weighting factors. But computational complexity of searching phase weighting factors is increased exponentially with the number of subblocks and considered phase factor. Therefore, a new method, which can reduce computational complexity and detect phase weighting factors efficiently, should be developed. In this paper, a modeling process is introduced, which apply metaheuristic algerian in phase rotation method and optimize in PTS (Particle Swarm Optimization) scheme. Proposed algorithm can solve the computational complexity and guarantee to reduce PAPR We analyzed the efficiency of the PAPR reduction through a simulation when we applied the proposed method to telecommunication systems.
Keywords
OFDM; PAPR; Metaheuristic; PTS; SLM;
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Times Cited By KSCI : 2  (Citation Analysis)
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