Blind channel order estimation algorithm based on subspace projection
Guo Hong · 2013
This paper proposes a blind channel order estimation algorithm based on subspace projection.In the basis of property of the projection error matrix in the Joint order detection and blind channel estimation by Least Squares Smoothing(J-LSS) algorithm and by exploiting the rank of the special matrix formed by the null space vectors of projection error matrix containing the channel order information,two order estimation cost function are constructed separately,and then these two normalized cost functions are jointed into a new one.The new cost function shows better performance under low Signal Noise Ratio(SNR) compared with just a single cost function mentioned above.The simulation proves that the proposed algorithm can realize the order estimation under low SNR and small sample observation data compared with traditional algorithms.