滤波器组多载波系统中基于双层优化的峰均比抑制算法

针对部分传输序列(PTS)算法在交错正交幅度调制的滤波器组多载波(FBMC-OQAM)系统中受符号重叠的影响，造成峰值再生，从而导致系统峰值功率比(PAPR)较高、计算复杂度较大等问题，该文提出一种基于双层优化的PTS算法(DO-PTS)。该算法对信号数据块进行两层相位因子搜索以获得更好的PAPR抑制性能，第1层充分考虑重叠特性，结合前面重叠数据块进行初步优化，第2层对数据块进行分组，在每组选择对峰值影响最大的数据块进行优化，来减少进行相位因子搜索的数据块数量，并且在第1层优化中缩小相位因子的搜索范围，以降低系统的计算复杂度。通过对计算复杂度和仿真结果的分析表明，同其它主流PTS优化算法相比，所提算法不仅能取得很好的 PAPR抑制性能，还具有较低的计算复杂度，同时也保证了系统的传输数据率。

Peak-to-Average Power Ratio Reduction Algorithm Based on Double Optimization in FBMC-OQAM System

The Partial Transmission Sequences (PTS) algorithm is affected by symbol overlap in the Filter Bank MultiCarrier with Offset Quadrature Amplitude Modulation (FBMC-OQAM), resulting in peak value regeneration, which leads to high Peak-to-Average Power Ratio (PAPR) and computational complexity. In this paper, a PTS algorithm based on Double Optimization (DO-PTS) is proposed, which searches two-layer phase factor for signal data blocks to obtain better PAPR suppression performance. The first layer takes full account of the overlap characteristics and combines the previous overlapping data blocks for initial optimization. The second layer groups the signals, and in each group, the data blocks that have the greatest impact on the peak value are optimized to reduce the number of data blocks for phase factor search. The search range of phase factor is reduced in the first layer optimization to reduce the calculation complexity. Through the analysis of computational complexity and simulation results, it is shown that compared with other mainstream PTS optimization methods, this algorithm can not only offer good PAPR reduction performance, but also have low computational complexity, and also ensure the transmission data rate of the system.