OFDM Signal Processing Based On Tone Reservation and Active Constellation Extension

A significant disadvantage of Orthogonal Frequency Division Multiplexing (OFDM) systems is the high Peak Average Power Ratio (PAPR). Among the various PAPR reduction techniques, probabilistic methods are widely favored due to their non-distortion characteristics. These methods primarily disrupt the phase coherence between subcarriers by incorporating additional data. This paper proposes a combined algorithm named Least Squares Approximation - Tone Reservation - Active Constellation Extension - Bunded Distortion (LSA-TR-ACE-BD) algorithm, which combines the Least Squares Approximation - Tone Reservation (LSA-TR) algorithm with the Least Squares Approximation - Active Constellation Extension - Bunded Distortion (LSA-ACE-BD) algorithm. The simulation results demonstrate that the LSA-TR-ACE-BD algorithm can reduce the PAPR to about 5.6dB with low complexity and low Bit Error Rate (BER), indicating its significant practical application potential in engineering.