超宽带系统中基于自适应定阶的DFT信道估计

his paper focuses on channel estimation for MB-OFDM UWB system. The traditional DFT-based channel estimator only removes the noise in the channel impulse response(CIR) beyond the length of the cyclic prefix(CP), while the noise within the length of the CP is not suppressed at al1. Therefore, in this paper, we propose an improved DFT-based channel estimator. Based on LS channel estimation, then, we performed channel estimation with the help of the methods based on information AIC theoretic criteria. It is shown that the proposed methods have higher precision and lower complexity. Simulation based on UWB standard IEEE CM1 show that our improved channel estimator performs better than the original one.