A Tone Reservation Method Combining Linear Clipping and PRT-Aided Detection Algorithm

In tone reservation (TR) methods, the high peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals is reduced through exploiting the reserved tones, i.e., peak-reduction tones (PRT), so as to manipulate the clipping noise generated from the soft limiter with predefined clipping threshold. In this work, from the least-squares perspective, the PRT are designed with linear operation only and a corresponding clipping threshold is proposed by a simple closed-form formula. Furthermore, a PRT-aided detection algorithm for the receiver is proposed to exploit the information embedded in the PRT, which is a linear function of the data-tone signal. The data-tones and PRT are jointly and iteratively estimated to increase the accuracy of detection. No extra receive-side information is required in the proposed method. Simulation results reveal that a remarkable gain in bit error rate (BER) is achieved.