Non-signal Distortion Methods For The PAPR Reduction Of The FBMC-OQAM Signals

Recently, the filter bank multicarrier with offset quadrature amplitude modulation(FBMC-OQAM) has attracted increasing attention. However, most peak-to-average powerratio (PAPR) reduction schemes developed for orthogonal frequency division multiplexing(OFDM) signals are not effective for FBMC-OQAM signals, due to the overlappingstructure of FBMC-OQAM signals.In this paper, we focus on non-signal distortion methods to reduce the PAPR of theFBMC-OQAM signal. We propose an improved partial transmit sequence (PTS) schemeby employing multi-block joint optimization (MBJO) for the PAPR reduction ofFBMC-OQAM signals, called as MBJO-PTS scheme. Unlike existing PAPR reductionschemes of independently optimizing the data blocks, the MBJO-based scheme exploitsthe overlapping structure of the FBMC-OQAM signal and jointly optimizes multiple datablocks. Moreover, we develop two algorithms for the optimization problem in theMBJO-PTS scheme, including a dynamic programming (DP) algorithm to guarantee theoptimal solution and avoid exhaustive search. Theoretical analysis and simulations showthat the proposed MBJO-PTS scheme could provide a significant PAPR reduction in theFBMC-OQAM system. The MBJO-PTS-DP algorithm reduces the PAPR of theFMC-OQAM signals efficiently with low computional complexity comparing with theconventional PTS method.We also address the problem of PAPR reduction for FBMC-OQAM systems usingTone Reservation (TR) technique. We improve the tone reservation technique byemploying sliding window for the PAPR reduction of FBMC-OQAM signals, calledsliding window tone reservation (SW-TR) technique. The proposed SW-TR technique usesthe peak reduction tones (PRTs) of several consecutive data blocks to cancel the peaks ofthe FBMC-OQAM signal inside a window. Furthermore, we propose a method to overlapthe sliding windows to control the out-of-window peak regrowth caused by the peak-canceling signal.