一种低复杂度降低FBMC-OQAM峰均值比的PTS双层搜索算法

A Low Complexity PTS Algorithm with Dual Layered Phase Sequencing to Reduce PAPR of the FBMC-OQAM Signal

最近采用偏移正交幅度调制的滤波器组多载波系统(FBMC-OQAM)吸引广泛的关注。由于FBMC-OQAM信号的叠加性,导致峰均值比(PAPR)较大,而大部分传统OFDM的降低PAPR技术不适用。为了不引入新的误码率,采用PTS算法降低FBMC-OQAM峰均值比是较好的选择,但现有基于PTS降低FBMC-OQAM峰均值比方案的复杂度都较高。通过对PTS算法进行改进,提出了一种新的在FBMC-OQAM系统中采用双层搜索的PTS算法(D-PTS)。该算法能以较小的复杂度降低FBMC-OQAM信号的PAPR,且不会引起信号畸变,理论分析和数值仿真证实了新算法的性能。

Recently,the filter bank multicarrier with offset quadrature amplitude modulation（ FBMC-OQAM）has attracted increasing attention. Because of the overlapping structure of FBMC-OQAM signal,resulting in a large peak-to-average（ PAPR）,and the most of traditional peak-to-average reduction methods for OFDM are not effective for FBMC-OQAM signals. In order not to introduce a new bit error rate,Using the PTS Algorithm is a better choose. But the existing algorithms based on the PTS for FBMC-OQAM signal are all with a high complexity. In this paper,we introduce a new PTS algorithm with dual layered phase sequencing（ D-PTS）. This method can reduce PAPR of the FBMC-OQAM signal with a low complexity and non-signal distortion. Theoretical analysis and numerical simulations confirm the performance of this algorithm.