基于特征值分解的直扩信号信息序列和伪码序列盲估计方法

A Blind Estimation Method of DSSS Signal Information Sequence and Pseudo Code Sequence Based on EVD

  • 摘要: 本文研究了非协作扩频通信中短码直扩信号的盲解扩问题,针对现有方法在低信噪比条件下失步时间估计不准等问题,本文提出了一种改进的基于特征值分解的直扩信号信息和伪码序列盲估计方法。方法首先定义了第一类接收信号自相关矩阵,并根据其特征值分解的特点,利用矩阵特征值与失步点的关系完成信号失步点的估计,随后利用特征向量在伪码序列未知的情况下估计出信息序列。失步点估计完成以后,再利用第二类接收信号自相关矩阵的特征向量实现伪码序列的盲估计。实验结果表明方法具有估计精度高、稳定性好、抗噪性能强的优点。

     

    Abstract: ‍ ‍In this paper, the problem of blind de-expansion of short code direct spread signal in non-cooperative spread spectrum communication is studied. Aiming at the problem that the out-of-step time estimation of existing methods is not accurate under the condition of low SNR, an improved blind estimation method of direct spread signal information and pseudo-code sequence based on eigenvalue decomposition is proposed in this paper. Methods According to the characteristic of the eigenvalue decomposition of the first kind of received signal autocorrelation matrix, the out-of-step point estimation is completed by using the relationship between the eigenvalue of the matrix and out-of-step point, and then the information sequence is estimated by using the eigenvector when the pseudo-code sequence is unknown. After the out-of-step point estimation is completed, the blind estimation of the pseudo-code sequence is realized by using the eigenvectors of the second type of received signal autocorrelation matrix. Experimental results show that the method has the advantages of high estimation accuracy, good stability and strong anti-noise performance.

     

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