OFDM blind channel estimation based on noise subspace tracking
Chen Hong, Pla Uni · Signal Processing · 2007
Utilizing the orthogonal property between signal subspace and noise subspace,the channel in OFDM systems can be blindly estimated based on subspace decomposition.However,the application of blind channel estimation was restricted because of the computational burden of subspace decomposition.The noise subspace tracking algorithm was used in this paper to track the noise sub- space adaptively.Simulation shows that the blind channel estimation based on noise subspace tracking has the approaching performance compared with the algorithm based on SVD but with low complexity.