Scheduled-Step-Size Affine Projection Algorithm
SCIE
SCOPUS
- Title
- Scheduled-Step-Size Affine Projection Algorithm
- Authors
- Lee, CH; Park, P
- Date Issued
- 2012-09
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Abstract
- An approach for scheduling the step sizes of an adaptive filter using the affine projection algorithm (APA) is proposed so that its mean-square deviation (MSD) learning curve can be guided along a pre-designed trajectory. This approach eliminates the parameter-tuning process and does not require estimating un-measurable stochastic quantities. Furthermore, a step-size lower bound is derived in random-walk-modeled environments that leads the adaptive filter to achieve the smallest steady-state MSD, while in stationary environments, the closer to zero the step size is, the smaller the steady-state MSD. For efficient memory usage in practice, the schedule is modified from full-table step sizes to a few down-sampled step sizes without performance degradation. In a simulation, the scheduled-step-size APA exhibits fast convergence and produces small steady-state error not only for a white signal but also for various colored input signals for a properly chosen projection order. The proposed algorithm also demonstrates greater robustness over different signal-to-noise ratios than the existing variable-step-size APAs.
- Keywords
- Adaptive filters; affine projection algorithm (APA); scheduled step size; NLMS
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/16285
- DOI
- 10.1109/TCSI.2012.2185298
- ISSN
- 1549-8328
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, vol. 59, no. 9, page. 2034 - 2043, 2012-09
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.