OFDM Channel Estimation Based on Signal-noise Subspace
Xiaoping Zeng, Zhao Tie-jun, Qingwen Han · Journal of Chongqing University. English Edition · 2007
Channel estimation is one of the key technologies for Orthogonal Frequency Division Multiplexing(OFDM).The contradiction of estimation property and estimation simplicity is the algorithm's key issue to be solved.The Linear Minimum Mean-Squared Error(LMMSE) estimation base on Singular Value Decomposition(SVD) was analyzed.Combined with the signal-noise subspace theory,a new rank-choose criterion for low-rank approximation was raised.The simulation results showed that the modified low-rank order choosing criterion strengthened the LMMSE algorithm's environment adaptability.