Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6960199 | Signal Processing | 2014 | 9 Pages |
Abstract
This paper proposes a new variable step-size sign algorithm (VSSA) for unknown channel estimation or system identification, and applies this algorithm to an environment containing two-component Gaussian mixture observation noise. The step size is adjusted using the gradient-based weighted average of the sign algorithm. The proposed scheme exhibits a fast convergence rate and low misadjustment error, and provides robustness in environments with heavy-tailed impulsive interference.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Yuan-Ping Li, Ta-Sung Lee, Bing-Fei Wu,