应用科学学报 ›› 2025, Vol. 43 ›› Issue (2): 257-273.doi: 10.3969/j.issn.0255-8297.2025.02.006

• 通信工程 • 上一篇    

UFMC系统中融合窗函数的干扰分析与最优窗设计

谢禹, 闻建刚, 倪郑威, 华惊宇   

  1. 浙江工商大学 信息与电子工程学院, 浙江 杭州 310018
  • 收稿日期:2023-11-14 发布日期:2025-04-03
  • 通信作者: 华惊宇,教授,博导,研究方向为无线通信。E-mail:eehjy@163.com
  • 基金资助:
    国家自然科学基金(No.62271445)资助

Interference Analysis and Optimal Window Design for Windowed UFMC Systems

XIE Yu, WEN Jiangang, NI Zhengwei, HUA Jingyu   

  1. School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China
  • Received:2023-11-14 Published:2025-04-03

摘要: 本文首先在理论上研究了存在载波频率偏移(carrier frequency offset,CFO)的加窗通用滤波多载波(universal filtered multi-carrier,UFMC)系统信号和干扰分析,推导了系统信干噪比(signal-to-interference-plus-noise ratio,SINR)表达式;然后基于误符号率(symbol error rate,SER)与SINR的关系式,构建了以最大化子载波SINR几何平均为目标的窗函数设计最优化模型;其次采用逐次凸近似算法求解了该最优化问题,得到了最优窗函数;再次通过仿真对比了不同窗函数下系统的SER。仿真结果表明,窗函数可以有效降低CFO导致的UFMC系统干扰。与传统窗函数相比,本文设计的最优窗函数具有更好的信噪比适用范围,并且能够显著改善系统SER。

关键词: 通用滤波多载波, 载波频率偏移, 窗函数, 逐次凸近似, 误符号率

Abstract: In this paper, we first investigate the signal and interference characteristics of the windowed universal filtered multi-carrier (UFMC) system in presence of carrier frequency offset (CFO), and then derive the expression of subcarrier signal-to-interferenceplus-noise ratio (SINR). Based on the relationship between symbol error rate (SER) and SINR, an optimization model for window design is formulated to maximize the geometric mean of subcarrier SINR. The successive convex approximation (SCA) algorithm is then employed to solve the optimization problem and determine the optimal window. Finally, SER simulations with various window functions demonstrate that the windowed operations effectively reduce the UFMC interference caused by CFO. Moreover, compared with traditional window functions, the proposed optimal window function significantly improves the system SER, and behaves reliably across a wide signal to noise ratio range.

Key words: universal filtered multi-carrier(UFMC), carrier frequency offset(CFO), window function, successive convex approximation(SCA), symbol error rate(SER)

中图分类号: