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作 者:李君婵[1]
出 处:《计算机仿真》2017年第3期177-180,共4页Computer Simulation
摘 要:在通信信号处理领域中,影响通信系统性能的主要因素是通信干扰信号,因此,需要进行通信攻击信号自适应分离。但是采用当前方法进行通信攻击信号分离时,仅由观测信号恢复出源信号,存在通信攻击信号分离精度低的问题。为此,提出一种基于变换域滤波的脉冲噪声环境下通信攻击信号自适应分离方法。该方法先利用通信信号和干扰的循环平稳特征差异,基于通信信号部分调制先验信息,通过频移转换将脉冲噪声环境下混合信号转换至可分离的变换域上,对变换域的通信通道中的传输模型进行分析,确定通信信道对通信信号的影响,利用快速傅里叶变换将通信信号时域卷积混合模型转化为频域瞬时线性混合模型,在此基础上利用瞬时线性盲分离方法来进行通信攻击信号自适应分离。实验仿真证明。An adaptive separation method for attack signal of communication under impulsive noise environment is proposed based on transform-domain filter.Firstly,the difference of cyclostationarity feature between communication signal and interference is used,and the composite signal under impulsive noise is converted into separable transform domain through transition of frequency shift based on prior information of fractional modulation in communication signal.The transmission mode of transform domain in communication channel is analyzed,and the influence of communication channel on signal is confirmed.Then the mixed model of time-domain convolution of signal is converted into the mixed model with instant linearity of frequency domain by using fast Fourier transform.Finally,the instant linear blind separation method is used to complete the adaptive separation.Simulation results show that the proposed method can make adaptive separation to attack signal effectively.It has advantage of high separation precision and strong capability of anti-noise interference.
分 类 号:TN911.7[电子电信—通信与信息系统]
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