A Novel Iterative Receiver for Clipping Distortion Recovery in OFDM Systems

High peak-to-power ratio (PAPR) is a significant drawback of the orthogonal frequency division multiplexing (OFDM) systems. The iterative clipping and filtering (ICF) method has been employed to reduce PAPR, which is effective but leads to nonlinear distortion in the systems. The modified iterative receiver (MIR) is a useful method to deal with the nonlinear distortion. However, the MIR suffers from high computational complexity with the increasing iterations. In order to improve the efficiency of receiver, a dynamic modeling iterative receiver (DMIR) is proposed, which employs the dynamic hybrid evolutionary modeling algorithm (DHEMA) to modify the formulas for iterations instead of the original linear ones of MIR. Furthermore, an improved segmentation adjusted dynamic modeling iterative receiver (SA-DMIR) is proposed combining the DMIR with a module of segmentation adjustment, which processes the peaks differently from other parts of signals for precise recovery. The simulation results demonstrate the superiorities of the proposed DMIR and SA-DMIR in terms of the computation consumption and accuracy.