Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntr

• 作 者: Zhirong Luan Hua Qu Jihong Zhao Badong Chen
• 机 构: School of Electronic and Information Engineering,Xi'an Jiaotong University,School of Telecommunicati
• 出 处: 中国通信
• 发表日期: 2016年09期
• 关键词: full duplex radio robust estimation digital non-linear self-interference cancell

Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference(SI).We first analyze the multiple noises in the full duplex radio system and model such noises as an distribution.Then we formulate a novel non-Gaussian SI problem.Under the maximum correntropy criterion(MCC),a robust digital non-linear self-interference cancellation algorithm is proposed for the SI channel estimation.A gradient descent based algorithm is derived to search the optimal solution.Simulation results show that the proposed algorithm can achieve a smaller estimation error and a higher pseudo signal to interference plus noise ratio(PSINR) than the well-known least mean square(LMS) algorithm and least square(LS) algorithm.

Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference (SI). We first analyze the multiple noises in the full duplex radio system and model such noises as an distribution. Chen we formulate a novel non-Gaussian SI problem.Under the maximum correntropy criterion (MCC), a robust digital non-linear self-interference cancellation algorithm is proposed for the SI channel estimation. A gradient descent based algorithm is derived to search the optimal solution. Simulation results show that the proposed algorithm can achieve a smaller estimation error and a higher pseudo signal to interference plus noise ratio (PSINR) than the well-known least mean square (LMS) algorithm and least square (LS) algorithm.