Abstract: (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.