摘要
针对梳状阻塞干扰对跳频通信造成严重影响的问题,根据跳频信号与梳状干扰的统计独立特性,将独立分量分析引入跳频通信抗干扰之中,提出了基于独立分量分析的跳频通信抗梳状干扰方法。围绕输出信号的统计独立性构建对照函数,利用对照函数引导分离矩阵迭代,进而将分离矩阵作用于接收混合信号,实现跳频信号与干扰信号的有效分离。仿真结果表明:提出的方法可有效提高跳频通信对抗梳状阻塞干扰能力;当误码率为10-3时,提出的方法可使跳频通信的抗干扰能力提升约8dB。
Comb jamming is one of the most common jamming signals, which seriously deteriorates frequen- cy hopping communication. According to the statistical independence character between the frequency hopping signal and the CJ（comh jamming） signal, ICA（independent component analysis） was introduced into the anti-jamming problem of frequency hopping communication. A novel independent component anal- ysis based anti-jamming method of frequency hopping against comb jamming was proposed. The object function was chosen based on the statistical independence between the output signals, and the object func- tion induced the iteration of the unmixing matrix. When the unmixing matrix is estimated, the frequency hopping signal and the comb jamming signal are separated effectively from the product of the received sig- nals and the unmixting matrix. Simulation results indicate that the proposed method can obviously enhance the anti-jamming ability of frequency hopping communication against comb jamming. For the bit error ratio of 10-3 , the anti-jamming ability of frequency hopping communication under comb jamming can be im- proved by more than 8 dB with the proposed method.
出处
《解放军理工大学学报（自然科学版）》
EI
北大核心
2012年第6期593-598,共6页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61179006)
中国博士后科学基金特别资助项目(201104800)
中国博士后科学基金资助项目(20100471858)
江苏省博士后科研资助计划(1002042C)
