期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
卷 59, 期 9, 页码 2034-2043出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSI.2012.2185298
关键词
Adaptive filters; affine projection algorithm (APA); scheduled step size
资金
- Ministry of Knowledge Economy (MKE), Korea, under the Information Technology Research Center (ITRC) [NIPA-2011-(C1090-1111-0011), NIPA-2011-(C1090-1121-0006)]
- World Class University program
- Ministry of Education, Science, and Technology through the National Research Foundation of Korea [R31-10100]
- Ministry of Public Safety & Security (MPSS), Republic of Korea [H0301-12-1003] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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.
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