A Steady-State Analysis of a CORDIC-Based Adaptive ARMA Lattice Filter

This paper analyzes steady-state properties of a CORDIC-based adaptive ARMA lattice filter. In our earlier work, convergence properties of the filter in the non-steady state have been clarified; however, its behavior in the steady-state is not discussed. Therefore, we develop a distinct analysis technique based on a Markov chain in order to investigate steady-state properties of the filter. By using the proposed technique, the relation between step size and coefficient estimation error is revealed. We can use the results of the analysis to obtain an efficient design of the filter.