摘要
A channel estimator used in sparse multipath fading channel for orthogonal frequency division multi-plexing(OFDM)system is proposed.The dimension of signal subspace can be reduced to improve theperformance of channel estimation.The simplified version of original subspace fitting algorithm is em-ployed to derive the sparse multipaths.In order to overcome the difficulty of termination condition,weconsider it as a model identification problem and the set of nonzero paths is found under the generalizedAkaike information criterion(GAIC).The computational complexity can be kept very low under propertraining design.Our proposed method is superior to other related schemes due to combining the procedureof selecting the most probable taps with GAIC model selection.Simulation in hilly terrain(HT)channelshows that the proposed method has an outstanding performance.
A channel estimator used in sparse muhipath fading channel for orthogonal frequency division multiplexing （OFDM） system is proposed. The dimension of signal subspace can be reduced to improve the performance of channel estimation. The simplified version of original subspace fitting algorithm is employed to derive the sparse multipaths. In order to overcome the difficulty of termination condition, we consider it as a model identification problem and the set of nonzero paths is found under the generalized Akaike information criterion （GAIC）. The computational complexity can be kept very low under proper training design. Our proposed method is superior to other related schemes due to combining the procedure of selecting the most probable taps with GAIC model selection. Simulation in hilly terrain （HT） channel shows that the proposed method has an outstanding performance.
基金
Supported by the Starting Fund for Science Research of NJUST (AB41947)
the Open Research Fund of National Mobile Communications Research Laboratory (N200609)
Science Research Developing Fund of NJUST (XKF07023)
