高精度多径延时分布估计算法的研究

Study of a Superresolution Multipath Delay Profiles Estimation Method

使用传统PN码序列相关法所测得的多径延时的时域分辨率受到PN码片长度的限制。文中研究了一种高精度的PN相关算法(SPM),改进了传统的PN相关算法的时域分辨率。SPM方法依靠分解延时分布数据向量相关矩阵的特征向量空间,来得到多径传播的路径数目和高分辨率的延时分布。计算机仿真表明,SPM算法可以分辨出延时差在1/10码片级的两条传播路径。

Time resolution of muhipath delay profiles measured by using autocorrelation of pseudonoise （PN） code sequence is generally limited by the chip interval of the PN code sequence. In this paper, we investigate a superresolution PN correlation method （SPM） which improves the time resolution of delay profiles measured by the conventional PN correlation method. The SPM is based on a decomposition of the eigenvector space of the correlation matrix of delay-profile data vector and gives the number of paths and their delay times with higher resolution. It is verified by computer simulations that the SPM can resolve two paths with a delay difference of a few tenths of the chip interval.