基于相似度的直扩信号盲解扩方法

发布时间：2018-01-19 09:30

本文关键词： 直扩信号信息序列扩频码序列相似度特征值分解　出处：《系统工程与电子技术》2017年07期 　论文类型：期刊论文

【摘要】：针对传统方法对直扩(direct sequence spread spectrum,DS-SS)信号进行盲解扩时,需要在估计出扩频序列后,才能完成信号盲解扩的问题,提出了一种基于相似度的DS-SS信号盲解扩方法。该方法首先在扩频码的码片速率和周期已知的条件下,以单倍扩频码周期的窗长对接收信号进行数据分段,然后对任意两段数据求相似度函数值,构造相似度函数值的特征信息矩阵,最后通过对构造的特征信息矩阵进行特征值分解就可以实现对信息序列及扩频码序列的盲估计。理论推导和仿真实验结果表明,该方法具有精度高、稳定性好,在信噪比容限值为-22dB的条件下也能够有效的盲估计DS-SS信号的信息序列及扩频码序列。
[Abstract]:When the traditional method is applied to the blind despreading of direct sequence spread spectrum (DSSS) signals, it is necessary to estimate the spread spectrum sequences. In order to complete the problem of signal blind despreading, a similarity based blind despreading method for DS-SS signals is proposed. This method is based on the known chip rate and period of spread spectrum codes. The received signal is segmented by the window length of the period of the haplotype spread spectrum code. Then the similarity function value of any two segments of data is obtained and the characteristic information matrix of the similarity function value is constructed. Finally, the blind estimation of information sequence and spread spectrum code sequence can be realized by eigenvalue decomposition of the constructed characteristic information matrix. The theoretical derivation and simulation results show that the method has high accuracy and good stability. When the SNR capacity limit is -22dB, the information sequence and spread spectrum code sequence of DS-SS signal can be estimated effectively.
【作者单位】：重庆邮电大学信号与信息处理重庆市重点实验室;
【基金】：国家自然科学基金(61671095,61371164) 信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003) 重庆市教育委员会科研项目(KJ130524,KJ1600427,KJ1600429)资助课题
【分类号】：TN914.42
【正文快照】： 网络优先出版地址:http://kns.cnki.net/kcms/detail/11.2422.TN.20170322.1049.008.html0引言在现代通讯系统中,直扩(direct sequence spread spec-trum,DS-SS)信号由于采用了伪随机编码调制信息码,使其频谱得以展宽,较之常规的窄带通信信号具有隐蔽性好、抗干扰、低截获概率

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