Reduction of Peak-to-average-power Ratio in OFDM Systems
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Abstract
Large amplitude fluctuations causeserious issues in orthogonal frequencydivision multiplexing (OFDM) signals, when a nonlinear power amplifier (NLPA) has been utilized. These large amplitude fluctuations are known as peak-toaverage power ratio (PAPR), which is a major disadvantage of OFDM system. To resolve this issue, one must need to reduce these large amplitude fluctuations in order to achieve higher data rates and to improve system performance. A wellknown method for reducing the PAPR is companding transform (CT). It doesn’t have any restrictions on system parameters such as frame format, number of subcarriers and type of constellation used. Recently, a linear nonsymmetrical
companding transform (LNST) has been proposed which has a superior performance than the transformations based on logarithmic transforms such as μ- law companding. Here, a new linear companding transform (LCT) with Rayleigh distribution (RD) has been implemented with more design flexibility than LNST by introducing two inflexion points. Experimental results show that the proposed
transform has a better PAPR reduction and bit error rate (BER) performance than LNST with better power spectral density (PSD).
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