The PARALLEL PTS AND SLM SCHEME ON LOW-COMPLEXITY BLIND SELECTEDMAPPING TECHNIQUE

Abstract

To progress the existing PAPR reduction techniques, we have incorporated ideal SLM and PTS based
PAPR reduction strategy in parallel. By utilizing, the OGWO algorithm; the transmit succession was
chosen with least PAPR above all communication antennas. The proposed PAPR reduction approach is
applied independently on each transmitted antenna, and so the PAPR can be extremely reduced. However,
this approach usually requires side information (SI) transmission, which increases the difficulty of the
hardware implementation with high complexity and reduces the data transmission rate. In this paper,
based on designing phase rotation vectors in the time domain, a novel blind SLM method with low
complexity is proposed to reduce the PAPR of OFDM signals. At the transmitter, the proposed method
properly designs the phase rotation vectors in the time domain, which can be considered as an equivalent
wireless channel without SI transmission. At the receiver, the effect of phase rotationvectors can be
removed by the conventional channel estimation method, and the data demodulation processing can be
easily performed by the frequency domain equalization. Simulation results show that the proposed
scheme can achieve low complexity in PAPR reduction and has great robustness in bit error rate (BER)
performance compared to the other low-complexity SLM PAPR schemes