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文中介绍了DS-UWB信号模型及其时域表达式,并基于此研究了在低信噪比下DS-UWB信号伪码盲估计的问题。提出了DS-UWB信号的相关矩阵累加平均与其特征分解相结合的方法。该方法可以由相关矩阵的主特征向量估计出观察信号的伪码。文中在理论分析的前提下,用仿真实验证明了这种方法在低信噪比下是非常有效的。
In this paper, the DS-UWB signal model and its time-domain expression are introduced. Based on this, we study the problem of blind estimation of DS-UWB signal under low signal-to-noise ratio. The method of combining the average of the correlation matrix of DS-UWB signals and their feature decomposition is proposed. The method can estimate the pseudo-code of the observed signal from the main eigenvector of the correlation matrix. In the theoretical analysis under the premise of the simulation experiments show that this method is very effective at low signal-noise ratio.