Performance analysis of signed self-orthogonalizing adaptive lattice filter

This paper describes the novel signed self-orthogonalizing adaptive lattice filter (SSALF) structure to enhance the slow convergence rate caused by an eigenvalue disparity whilst constraining the level of the convergence rate and the misadjustment required by a specification. The SSALF structure is also implemented by the partial lattice predictor in order to reduce a computational complexity. The performance analysis based on the convergence model of the lattice predictor is given in terms of the mean-squared error and the variance of the reflection coefficient error. Computer simulations are undertaken to verify the performance and the applicability of the proposed filter structure.