Xie Gang

Abstract—In this paper, we propose an improved discrete Fourier transform (DFT)-based channel estimation scheme for Orthogonal Frequency Division Multiplexing (OFDM) systems. The proposed algorithm uses Hannan-Quinn (HQ) information criterion to estimate the number of most significant paths and the multipath time delays. With these channel parameters, Our scheme can reduce the noise impact and improve the performance of traditional DFT channel estimation scheme. Compared with other information criterion, such as the minimum description length (MDL) and the generalized Akaike information criterion (GAIC) criterion, the proposed scheme is found to have better performance. Keywords—sparse channel estimation; discrete Fourier transform (DFT); Hannan-Quinn (HQ) criterion; OFDM; I