基于特征值一阶变化率的DS_CDMA多用户估计算法

The DS_CDMA Multi-user Estimation Algorithm Based on The First Order Rate of Eigenvalues

  • 摘要: 针对DS-CDMA系统的快速用户数估计问题,在分析系统模型的基础上,提出一种基于特征值一阶变化率的DS-CDMA系统用户个数估计算法。算法首先对信号进行非同步解调处理,解决了传统信息论方法不适用于DS_CDMA系统用户数估计的问题;再通过移位相关法估计失步点,提取数据矩阵;最后提取特征值,依据噪声的高斯性采用基于特征值一阶变化率的信息论方法进行用户数估计。仿真结果表明, 在信噪比高于-6dB时,本文提出的算法在同步和非同步系统中均能准确地估计用户个数。相较于其他算法估计准确率提升了15%~20%。

     

    Abstract: Based on the analysis of the system model, a user number estimation algorithm based on the first-order rate of eigenvalue is proposed for DS_CDMA system. The algorithm solves the problem that the traditional information theory method is not applicable to the estimation of the number of DS_CDMA system users by asynchronous demodulation processing. Then, the out-of-step points are estimated by the displacement correlation method, and the data matrix is extracted. Finally, the eigenvalues are extracted. According to the similarity of noise, the information theory algorithm based on the firstorder change rate of eigenvalue is used to estimate the number of users. The simulation results show that the algorithm proposed in this paper can correctly estimate the number of users in both synchronous and asynchronous systems when the SNR is -6 dB. Compared with other algorithms, the estimation accuracy is improved by 15%~20%.

     

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