UOWC系统中基于PTS的低复杂度联合PAPR抑制算法  

Low-complexity joint PAPR suppression algorithm based on PTS in UOWC system

作　　者：杨硕 白菊蓉 郭宇成 YANG Shuo;BAI Jurong;GUO Yucheng(School of Electronic Engineering,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)

机构地区：[1]西安邮电大学电子工程学院,陕西西安710121

出　　处：《传感器与微系统》2022年第11期143-146,151,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61875164,61805199);陕西省自然科学基础研究计划项目(2019KW052)。

摘　　要：在水下光无线通信(UOWC)系统中,针对正交频分复用(OFDM)技术的高峰均功率比(PAPR)问题,提出了一种将改进粒子群优化算法和部分传输序列(PTS)算法相结合,降低UOWC系统PAPR的联合算法。该算法通过添加惯性权重和临界阈值,有效地搜索相位旋转因子的最优组合。通过仿真验证,所提联合算法在保障UOWC系统性能的前提下,大幅度降低了PAPR和计算复杂度。Aiming at the high peak-to-average power ratio(PAPR)problem of orthogonal frequency division multiplexing(OFDM)technology in underwater optical wireless communication(UOWC)system, a joint algorithm which combines improved particle swarm optimization(PSO)algorithm with partial transmission sequence(PTS)algorithm is proposed to reduce PAPR of the UOWC system.The algorithm effectively searches for the optimal combination of phase rotation factors by adding inertia weights and critical thresholds.Through simulation verification, it greatly reduces PAPR and computational complexity while guarantees the performance of the UOWC system.

关 键 词：水下光无线通信 部分传输序列 峰均功率比 粒子群优化算法 

分 类 号：TN929.1[电子电信—通信与信息系统]