Magnitude weighting selection: a method for peak-to-average power ratio reduction in transform domain communication system

One of major drawbacks of transform domain communication system (TDCS) is the high peak-to-average power ratio (PAPR) of the transmitted signal. A novel method named magnitude weighting selection (MWS) for PAPR reduction in TDCS is proposed. The method is based on multiplying used subcarriers by magnitude weights which are determined by the modified backtracking search optimisation algorithm. The MWS algorithm can significantly reduce the computational complexity with a low PAPR. Furthermore, it guarantees the normality of transmission signals and reduces the multiple-user interference. Analytic and simulation results demonstrate that the MWS method makes a good tradeoff between PAPR reduction and bit error rate degradation in a specified magnitude weighting range.