基于循环平稳差异的直扩信号盲提取抗干扰方法

发布时间：2018-01-24 02:49

本文关键词： 阻塞干扰扫频干扰循环平稳盲源分离抗干扰　出处：《电子学报》2017年06期 　论文类型：期刊论文

【摘要】：提出一种基于循环平稳差异的直扩信号盲提取抗干扰方法.针对源信号在统计域上的近似独立性,构建直扩通信盲源分离抗干扰模型,基于源信号的循环平稳差异,利用循环自相关函数的典型极值点定义一个用于区分直扩信号和干扰的二阶循环差异度特征参数,通过比较该特征参数的大小进行模式识别,提取出直扩信号而抑制掉干扰,达到抗干扰的目的.仿真结果表明:当信干比(SJR)为-40d B、归一化信噪比(NSNR)为9d B时,直接解扩/解调信号的误比特率约为IE-0.3,而本文所提抗干扰算法误比特率(BER)低至IE-3,可从强干扰中有效分离并提取出直扩信号.
[Abstract]:In this paper, a blind extraction method for direct spread spectrum (DSSS) signals based on cyclic stationary difference is proposed. Aiming at the approximate independence of source signals in statistical domain, a blind source separation and anti-jamming model for direct spread spectrum communication is constructed. Based on the cyclic stationary difference of the source signal, a characteristic parameter of the second order cyclic difference is defined by using the typical extremum of the cyclic autocorrelation function to distinguish the DSSS signal from the interference. By comparing the size of the characteristic parameters for pattern recognition, the direct spread spectrum signal is extracted to suppress the interference, and the anti-interference is achieved. The simulation results show that the signal to interference ratio is -40dB when the signal-to-interference ratio (SJR) is -40 dB. When the normalized signal-to-noise ratio (NSNR) is 9 dB, the BER of the direct despreading / demodulating signal is about IE-0.3, while the BER of the proposed anti-jamming algorithm is as low as IE-3. DSSS signals can be effectively separated and extracted from strong interference.
【作者单位】：国防信息学院;重庆通信学院;总参通信工程设计研究所;
【基金】：新世纪优秀人才支持计划资助(No.NCET-11-0873) 重庆高校创新团队建设计划资助(No.KJTD201343)
【分类号】：TN914.42;TN975
【正文快照】： 1引言由于具有抗干扰能力强、隐蔽性好、易于组网等优点,直接序列扩频(Direct Sequence Spread Spectrum,DSSS)通信广泛应用于微波、超短波、短波等通信领域[1~3].但随着电子侦察技术和通信干扰技术的发展,常规的直扩通信通常会面临阻塞干扰[4]、扫频干扰[5]等人为恶意干扰的

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