微弱DS-UWB信号的盲估计方法研究

A Study on Blind Estimation of Weak DS-UWB Signals

介绍了直接序列超宽带(DS-UWB)信号的信号模型及其时域表达式,提出了用DS-UWB信号的相关矩阵特征分解的方法来解决在低信噪比下DS-UWB信号伪码和相关参数盲估计的问题。该方法可以在一个算法中同时实现码同步和伪码序列的恢复,大大减小了估计的复杂度和相位模糊度。理论分析和仿真实验都证明了该方法在低信噪比下的有效性。

In this paper, a signal model and its formulation in time domain of DS-UWB signals are introduced, and an approach using eigenvalue-analysis of correlation matrix for DS-UWB signals is proposed to estimate blindly the PN sequence and several parameters in low SNR DS-UWB signals. Both synchronization and PN sequence estimation can be implemented simultaneously by the approach proposed in this paper. Moreover, the algorithm complexity and phase ambiguity can be reduced significantly. Both theoretical analysis and experimental results show that this approach is very effective for low SNR.