摘要
针对跳频通信系统抗干扰问题,利用跳频信号和干扰信号的统计独立性,提出一种跳频信号的半盲提取抗干扰方法。该方法采用参考独立分量分析算法(independent component analysis with reference,ICA-R),利用协作通信双方已知的跳频图案的先验信息,约束算法收敛方向,提取出跳频信号。仿真结果表明,所提方法能够有效提取出跳频信号,提高通信系统的抗干扰能力。该算法合并了信号分离和提取过程,避免FastICA抗干扰方法所需的信号识别和提取的后续处理,降低了系统的复杂度。
In order to solve the anti-jamming problem in the frequency hopping communication system,utilizing the statistical independence between frequency hopping signals and interference signals,an anti-jamming method based on semi-blind extraction algorithm was proposed. The proposed method emplyed ICA-R algorithm to separate the mixing signals by using prior information to restrain the convergence direction and extract the interesting frequency hopping signal. Simulation results indicate the proposed method can separate and extract the frequency hopping signal efficiently,as well as improving the anti-jamming ability of communication system. Compared with the anti-jamming method based on FastICA,the proposed method incorporates the processing of separation and extraction to redule the complexity of the frequency hopping system.
出处
《科学技术与工程》
北大核心
2014年第9期64-68,共5页
Science Technology and Engineering
基金
重庆市基础与前沿研究计划项目(cstc2013jcyjA40045)资助
