Abstract
An efficient algorithm for updating the gradient adaptive lattice (GAL) filter, termed the median least mean squares lattice (MLMSL) adaptive filter, is presented. The update in the proposed algorithm is achieved by employing the sample median of the gradient estimates at each stage of the lattice instead of the instantaneous value as in conventional GAL. Two structures are considered: the first is the normal lattice while the second incorporates an additional FIR configuration. It is shown that the MLMSL performs similar to the GAL in the absence of impulsive interference, and outperforms the GAL in the presence of such interference. Simulations are provided to demonstrate the efficiency of the proposed MLMSL adaptive filters.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
