Self-Adaptive Choosing the Copy-Frame Number of Selective Mapping

At numerous methods of reducing peak-to-average power ratio (PAPR), the selective mapping (SLM) is a well effective method, but it needs more IFFT process whose number is equal to copy-frame, this causes the high complexity of the system. A self-adaptive choosing the copy-frame number model of SLM is proposed in this paper. At the basic of the BER meet some qualification, it can choose out the very reasonable copy-frame number of system though the self-adaptive choosing the copy-frame number arithmetic. This makes the systemic complexity keeping in the lowest floor, and at the same time reduces the PAPR effectively. Simulation results demonstrate the effectiveness of the proposed self-adaptive choosing system.