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Performance Evaluation and Convergence Analysis of a VEDNSS LMS Adaptive Filter Algorithm  

Park, Chee-Hyun (Sungkyunkwan University School of Information and communications Engineering)
Hong, Kwang-Seok (Sungkyunkwan University School of Information and communications Engineering)
Abstract
This paper investigates noise reduction performance and performs convergence analysis of a Variable Error Data Normalized Step-Size Least Mean Square(VEDNSS LMS) algorithm. Adopting VEDNSS LMS results in higher system complexity, but noise is reduced providing fast convergence speed Mathematical analysis demonstrates that tap coefficient misadjustment converges. This is confirmed by computer simulation with the proposed algorithm.
Keywords
Step-size; Filter coefficient; Mean square error; Convergence; Differentiation;
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