经典功率谱最大多普勒频移的子空间跟踪算法
首发时间:2010-01-05
摘要:最大多普勒频移参数对于采用自适应技术的OFDM系统是非常重要的一个参数。本文提出了一种根据子空间跟踪方法估计多普勒频移的方法。该方法适用于采用梳状导频的系统。通过子空间跟踪的方法,信道矢量可以通过投影到信道的延迟子空间当中从而可以减少噪声功率对参数估计的影响。使用牛顿法求解可以在比较低的复杂度条件下获得很好的精度。而且仿真结果表明算法可以较快的收敛到最大多普勒扩展的真值,而且适用于较宽SNR动态范围。而且根据本算法可以很方便地与采用了子空间跟踪的信道估计器相结合,从而获得信道估计器整体性能的进一步提升。
关键词: 多普勒扩展 子空间跟踪 OFDM 时间相关 梳状导频
For information in English, please click here
Classic Doppler Spectrum Based Doppler Spread Estimation by Tracking Sub-Space
Abstract:The maximum Doppler spread is crucial for adaptive strategies in OFDM systems. In this paper, we propose a subspace-based maximum Doppler spread estimation algorithm applicable to the comb-type pilot pattern. By tracking the drifting delay-subspace, the noise is greatly reduced. Also, by solving the polynomial equation with the Newton’s method, high accuracy can be achieved with moderate complexity. The performance of the proposed algorithm is demonstrated to be robust over a wide range of SNRs and Dopplers by simulations. Besides, the proposed algorithm can be readily integrated into the channel estimators with the subspace tracker which lends a broad application promise to it.
Keywords: Doppler spread Subspace tracking OFDM Time correlation Comb-type pilot
基金:
论文图表:
引用
No.3846150677912626****
同行评议
共计0人参与
勘误表
经典功率谱最大多普勒频移的子空间跟踪算法
评论
全部评论0/1000