干扰信息未知的软连续干扰消除算法

Soft Successive Interference Cancellation for Modulation-unknown Interference

在无线通信中,不同发送用户/信号之间的干扰是影响接收机检测性能的主要因素之一。为了改善通信质量,近年来干扰消除方案被广泛使用,然而已有的工作大多假设理想的干扰消除,或者假设干扰信号调制方式完全已知。主要关注干扰信号调制未知的系统,提出了一种软连续干扰消除(Soft Successive Interference Cancellation,S-SIC)方案,具体来说,设计了一种干扰信号的软输出解调器,软信息不仅能为干扰信号调制方式的判断提供信息,也能减小解调误差的影响,进而提升检测性能。仿真结果表明,S-SIC方案相较于传统检测算法性能提升显著。

In wireless communications,interference among different transmit users/signals is one of the most important obstacles for performance improvement.To solve the problem,interference cancellation schemes have been widely adopted.However,most existing works either assume ideal cancellation or perfect modulation-format information of interfering signals.In this paper,we proposed a soft successive interference cancellation scheme for systems with modulation-unknown interfering signals.Specifically,we develop a soft-output demodulator for interfering signal.The obtained soft information not only reduces the impact of demodulation error but also provides certain information to determine the modulation format of interfering signals.Numerical results show that the developed scheme improves the system performance significantly by comparing with traditional scheme.