TY - GEN
T1 - A Novel Iterative Receiver for Clipping Distortion Recovery in OFDM Systems
AU - Song, Weilin
AU - Du, Heng
AU - Xue, Jiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - evolutionary algorithm
KW - nonlinear distortion
KW - Orthogonal frequency division multiplexing (OFDM)
KW - peak-to-power ratio (PAPR)
KW - segmentation adjustment
UR - https://www.scopus.com/pages/publications/85169794037
U2 - 10.1109/VTC2023-Spring57618.2023.10200122
DO - 10.1109/VTC2023-Spring57618.2023.10200122
M3 - 会议稿件
AN - SCOPUS:85169794037
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Y2 - 20 June 2023 through 23 June 2023
ER -