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多信号通信期望信号与入侵信号特征分离仿真 被引量:6

Simulation on the Characteristic separation of Desired Signal from Intrusion Signal in Multi-signal Communication
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摘要 研究多信号通信中入侵信号与通信信号的准确分离技术。多信号通信过程中,不同信号遵守不同的通信协议,带有不同的信号特征。遭到入侵后,信号之间形成不可约束的纠缠,入侵信号与通信信号极化域的特征差异大幅缩小。传统的信号分离技术工作于单极化方式,无法利用多通信信号与入侵信号之间在极化域的特征差异,造成在极化区域内,两者无法分离,限制了在信号处理层面进行抗入侵的能力。为了解决上述问题,建立了一种正交极化阵列入侵信号分类模型,通过入侵极化改变信号损失特征这一特征,实现极化区域内期望信号与干扰信号的特征分离,对分离后的信号进行抗干扰性能进行了仿真分析,证明了采取上述矢量信号处理的方式不仅扩展了多信号通信中入侵信号处理的能力,并且能够显著的提高多信号网络通信系统的抗干扰性能。 the accurate separation technology of intrusion signal and communication signal in signal communica- tion is researched. In the process of multi - signal communication, different signals comply with different communica- tion protocols, with different signal characteristics. After intrusion, the uneonstraint entanglement is formed between the signals. The characteristic difference of the polarization domain between invasion signal and communication signal is diminished sharply. Traditionalsignal separation technology isthe single polar way, it can't use the feature differ- ence between multi - communication signal and invasion signal in polarization domain, causing that in the area of the polarization, the two cannot be separated, which limits the ability to resist invasion in signal processing level. In or- der to solve this problem, an intrusion signal classification model based on orthogonal polarization array is estab- lished, through the features of that intrusion polarization can change signal loss characteristics, realize the character- istics separation of desired signal and interference signal in the area of polarization. The simulation analysis of anti - interference characteristic of separation signal is performed. Simulation results prove that it not only extends the capa- bility of invasion signal processing in multi - signal communication, but also significantly improves the anti - interfer- ence performance of multi - signal network communication system.
出处 《计算机仿真》 CSCD 北大核心 2014年第8期321-325,共5页 Computer Simulation
关键词 矢量处理 入侵信号 信号分离 Vector processing, Intrusion signal Signal separation
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