基于子空间的DS-UWB系统高分辨率低复杂度时延估计

High resolution and low complexity subspace based delay estimation for DS-UWB system

研究了在室内多径衰落信道下直接序列超宽带(DS-UWB)系统的时间延迟估计问题,提出了一种基于子空间的高分辨率、低复杂度的时延估计方法。该方法将滑动相关输出的时间平均相关矩阵分解成信号和噪声子空间,然后用MUSIC谱计算,再通过最大值搜索获取时延估计。将滑动相关的时间分辨率与传统相关MUSIC方法的计算复杂度进行了对比。计算机仿真结果表明,在多径时延差接近一个切谱(Chip)周期情况下,新的算法能够有效分辨出多径时延,性能明显高于传统的滑动相关方法。

The problem of propagation delay estimation in direct sequence ultra-wideband （DS-UWB） system over multipath fading channel was studied. An estimation algorithm based on subspace decomposition with high resolution and low complexity was proposed. This method obtained delay estimation through decomposition of time average correlation matrix of sliding correlation output in signal and noise subspaces,MUSIC spectrum computation and maximum value searching. Comparison of time resolution and complexity between sliding correlation method and conventional correlation MUSIC method was conducted. Computer simulation results show that the proposed method can estimate time delay in near one chip duration and its performance is better than that of conventional methods.