基于隐藏导频的多频带正交频分复用超宽带稀疏信道估计

在多频带正交频分复用超宽带系统中,基于隐藏导频提出一种稀疏信道估计算法.通过隐藏导频而估计出信道,利用广义信息论准则建立代价函数并探测出非零抽头位置,修正得到稀疏信道估计值,通过降低估计维数提高了算法的估计性能.同时,分析了算法性能和克拉美-罗界(CRB).仿真结果表明,稀疏信道估计算法比传统算法的性能明显提高,且性能更接近于CRB.

Sparse Channel Estimation for MB OFDM System Based on Superimposed Pilots

(Digital Signal Processing Laboratory, Chongqing Communication Institute, Chongqing 400035, China)Abstract： A novel sparse channel estimation algorithm was proposed based on superimposed pilots in MB OFDM UWB systems. The superimposed pilots were exploited to estimate the channel parameters. New cost function was then established based on generalized Akaike information criterion (GAIC) criterion to detect the positions of nonzero taps, by which the estimation dimension was reduced with improvement of the estimation performance. Finally, the Cramer Rao Bound (CRB) was analyzed. The simulation results show the proposed algorithm has excellent performance and that the variance approaches the CRB.