Performance Analysis for the Least Mean Mixed Norm Algorithm with a Leaky Factor

The weight drift issue occurring in the Least Mean Mixed Norm Algorithm (LMMN) can be overcome by using a leaky factor and it is termed as “Leaky Least Mean Mixed Norm Algorithm” (LLMMN). This paper presents an insight into the convergence behavior of the LLMMN algorithm for different noise environments. A complete theoretical analysis is presented, including mean square stability. Simulation results for different scenarios, including different noise environments, have been presented to corroborate the findings.