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 α ...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 α - stable 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.展开更多
为了消除M-PSK/QAM系统中的共道干扰,提出一种基于相位预编码和盲源分离的干扰消除新方法:发射端采用随机序列对期望信号进行相位编码,接收端利用期望信号独有的编码序列和盲源分离技术从接收信号中提取出期望信号。该方法不需要知道信...为了消除M-PSK/QAM系统中的共道干扰,提出一种基于相位预编码和盲源分离的干扰消除新方法:发射端采用随机序列对期望信号进行相位编码,接收端利用期望信号独有的编码序列和盲源分离技术从接收信号中提取出期望信号。该方法不需要知道信道状态信息(CSI,channel state information),从而避免了信道估计误差对系统性能的影响,并节省了训练序列带来的带宽开销。仿真实验表明所提策略可以有效降低干扰的影响,在SNR高于6dB情况下,比已知完美CSI的MMSE算法有更低的误码率。展开更多
基金supported by the National Natural Science Foundation of China under Grants 61372092"863" Program under Grants 2014AA01A701
文摘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 α - stable 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.
文摘为了消除M-PSK/QAM系统中的共道干扰,提出一种基于相位预编码和盲源分离的干扰消除新方法:发射端采用随机序列对期望信号进行相位编码,接收端利用期望信号独有的编码序列和盲源分离技术从接收信号中提取出期望信号。该方法不需要知道信道状态信息(CSI,channel state information),从而避免了信道估计误差对系统性能的影响,并节省了训练序列带来的带宽开销。仿真实验表明所提策略可以有效降低干扰的影响,在SNR高于6dB情况下,比已知完美CSI的MMSE算法有更低的误码率。
