一种降低FBMC-OQAM系统PAPR的ASSABC-PTS算法

针对滤波器组多载波-偏移正交幅度调制技术(Filter Bank Multicarrier-Offset Quadrature Amplitude Modulation，FBMC-OQAM)存在峰均功率比(Peak-to-Average Power Ratio,PAPR)过高的问题，以及传统部分传输序列(Partial Transfer Sequence,PTS)算法对PAPR抑制效果不明显，提出了一种新的基于自适应搜索策略的人工蜂群部分传输序列算法(Adaptive Search Strategy Based Artifical Bee Colony PTS,ASSABC-PTS)。首先，根据FBMC-OQAM系统特性，利用传统PTS算法对系统进行初步优化，以降低FBMC-OQAM系统的PAPR；然后，针对PTS算法中存在的计算复杂度问题，引入人工蜂群(Artificial Bee Colony,ABC)算法进行优化；最后，在ABC算法中引入自适应搜索策略提升算法的局部寻优能力，加快ABC算法的收敛速度和搜索精度。仿真实验表明，ASSABC-PTS在有效降低系统算法复杂度的同时，也极大降低了FBMC-OQAM系统的峰均功率比。

An ASSABC-PTS algorithm for PAPR reduction in FBMC-OQAM system

For the problem that Filter Bank Multicarrier Offset-QAM(FBMC-OQAM) technology has high peak-to-average power ratio(PAPR) and Partial Transmission Sequence(PTS) algorithm has poor performance when directly applied to FBMC-OQAM systems,a novel Adaptive Search Strategy Based Artifical Bee Colony PTS(ASSABC-PTS) algorithm is proposed.The Artificial Bee Colony(ABC) algorithm is introduced to overcome the issue of high computational complexity of the conventional PTS algorithm.And the adaptive search strategy is employed to improve the local optimization ability and increase the convergence speed and search accuracy of ABC algorithm.Simulation results show that the proposed algorithm reduces the PAPR of FBMC-OQAM system obviously and decreases the computational complexity greatly.