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Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm

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5 Author(s)
Ghosh, S. ; Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, India ; Roy, Subhrajit ; Das, S. ; Abraham, A.
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Orthogonal Frequency Division Multiplexing (OFDM) has emerged as very popular wireless transmission technique in which digital data bits are transmitted at a high speed in a radio environment. But the high peak-to-average power ratio (PAPR) is the major setback for OFDM systems demanding expensive linear amplifiers with wide dynamic range. In this article, we introduce a low-complexity partial transmit sequence (PTS) technique for diminishing the PAPR of OFDM systems. The computational complexity of the exhaustive search technique for PTS increases exponentially with the number of sub-blocks present in an OFDM system. So we propose a modified Differential Evolution (DE) algorithm with novel mutation, crossover as well as parameter adaptation strategies (MDE_pBX) for a sub-optimal PTS for PAPR reduction of OFDM systems. MDE_pBX is utilized to search for the optimum phase weighting factors and extensive simulation studies have been conducted to show that MDE_pBX can achieve lower PAPR as compared to other significant DE and PSO variants like JADE, SaDE and CLPSO.

Published in:

Evolutionary Computation (CEC), 2011 IEEE Congress on

Date of Conference:

5-8 June 2011