RLS-Laguerre lattice adaptive filtering: Error-feedback, normalized, and array-based algorithms

This paper develops several lattice structures for RLS Laguerre adaptive fi ltering including a posteriori and a priori based lattice filters with erro r-feedback, array-based lattice filters, and normalized lattice filters. Al l structures are efficient in that their computational cost is proportional to the number of taps, albeit some structures require more multiplications or divisions than others. The performance of all filters, however, can dif fer under practical considerations, such as finite-precision effects and re gularization. Simulations are included to illustrate these facts.