智能天线中导频符号辅助的载波频偏估计

Pilot-assisted carrier frequency-offset estimation in smart antenna

首先定量分析了智能天线的阵元和导频符号数目增减对频偏估计性能的影响 ;然后借助于自适应阵加权结构 ,提出了一种存在共信道干扰 (CCI)时 ,导频辅助估计频偏的新算法 ,该方法的自适应权只是中间变量 ,所以并不需要系统真正采用自适应结构 ,也不需要已知天线阵列流形。计算机仿真表明 ,该算法可以充分地利用多阵元和导频符号 ,有效抑制了CCI ,使频偏估计性能接近于克莱美 -罗界。

Smart antenna plays an important role in future wireless communication. However, the performance of such communication system strictly depends on accurate estimates of the synchronization parameters, such as carrier frequency-offset (CFO). In this paper, the contributions of the numbers of both the array elements and pilot symbols for pilot-assisted CFO estimation is analyzed quantitatively, a new algorithm for pilot-assisted CFO estimation in presence of co-channel interference (CCI) with the help of adaptive array weighted structure is also presented. However, neither adaptive weight nor array manifold is needed in the final algorithm. Furthermore, computer simulations show that the proposed algorithm can fully exploit the gains from elements and pilots and reject the effect of CCI effectively.